GitHub topics: autoencoder
Dev-Re2906/BTCETFT
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GheodeAI/va_am
VA-AM (Various Advanced - Analogue Methods) is a Python package based on the deep learning enhancement of the classical statistical Analogue Method. It provides several tools to analyse climatological extreme events, particularly heat waves.
Language: Python - Size: 658 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 4 - Forks: 0
ahmadtourei/das-anomaly
A Python package to detect anomalies in distributed acoustic sensing (DAS) datasets.
Language: Python - Size: 1.32 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 8 - Forks: 0
DataS-DHSC/tech-club
Materials for Statistics and Data Science (SDS) Tech Club sessions
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andreasMazur/variational_autoencoder
A light TensorFlow meta-class for variational autoencoder.
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ilnazasaifutdinova/exoplanet-transit-detection-showcase
Academic project on detecting and generating exoplanet transit signals with LSTM and Autoencoders using labeled Kepler light curves from Kaggle
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zahra-ahmadbeigloo/Deep-Learning-Projects
This repository contains a collection of deep learning projects implemented from scratch and using Keras/TensorFlow. The focus is on learning and experimenting with different neural network architectures for both foundational understanding and practical application.
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GaloisInc/dlkoopman
A general-purpose Python package for Koopman theory using deep learning.
Language: Python - Size: 10.8 MB - Last synced at: about 18 hours ago - Pushed at: 4 months ago - Stars: 104 - Forks: 14
Southla/Supervised_Learning
Supervised Learning project from TripleTen
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chrislemke/autoembedder
PyTorch autoencoder with additional embeddings layer for categorical data 🚘
Language: Python - Size: 935 KB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 8 - Forks: 0
vonexel/smog
Pytorch implementation of Semantic Motion Generation - motion synthesis from text via CLIP & Kolmogorov-Arnold-Networks
Language: Python - Size: 4.54 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 2 - Forks: 0
XavierJiezou/PMAA
Official PyTorch implementation of "PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery" (ECAI 2023).
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yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Language: Python - Size: 39.3 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 9,231 - Forks: 1,416
Parth-D3/Autoencoders
Repository for showcasing autoencoder architecture in computer vision and its applications in denoising, domain adaption, anomaly detection and image colorization
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TAYMESMAEE/Anomaly-Detection-in-Transactions
Anomaly detection in transactions means identifying unusual or unexpected patterns within transactions or related activities. These patterns, known as anomalies or outliers, deviate significantly from the expected norm and could indicate irregular or fraudulent behaviour.
Language: Python - Size: 41 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
FandosA/Normal_Optical_Flow_Prediction_Pytorch
Deep learning model to predict the normal flow between two consecutive frames, being the normal flow the projection of the optical flow on the gradient directions.
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IoBT-VISTEC/MIN2Net
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)
Language: Python - Size: 19.4 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 89 - Forks: 25
alawryaguila/multi-view-AE
Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.
Language: Python - Size: 3.14 MB - Last synced at: 6 days ago - Pushed at: 10 months ago - Stars: 53 - Forks: 5
ZakriaComputerEngineer/Semi-and-self-supervised-learning-for-baggage-threat-screening-and-localisation
This repository is source code of conference paper "ViT-AE: A Self-Supervised Vision Transformer Autoencoder for Baggage Threat Localization"
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NifTK/NiftyNet 📦
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Language: Python - Size: 11 MB - Last synced at: 6 days ago - Pushed at: about 5 years ago - Stars: 1,377 - Forks: 402
qazimsajjad/Deep-Learning-Course
This repository provides a comprehensive deep learning course with theoretical concepts and practical implementations
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dzhokn/school-dropout-prediction
School Dropout Prediction using Anomaly Detection Autoencoder model
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QuantiusBenignus/voluble
Let your GNOME desktop speak to you. Reads your desktop notifications or selected text out-loud with human-like voice using Piper. Uses a local LLM to summarize selected text.
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MorvanZhou/Tensorflow-Tutorial
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Language: Python - Size: 37.1 MB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 4,346 - Forks: 1,866
arcc-hitt/URL_Email_Phishing_Detection
A real-time phishing detection system that analyzes emails and URLs using LightGBM, XGBoost, and autoencoders, with seamless Gmail API integration and an Angular frontend for clear, instant threat insights.
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podgorskiy/ALAE
[CVPR2020] Adversarial Latent Autoencoders
Language: Python - Size: 203 MB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 3,523 - Forks: 555
golbin/TensorFlow-Tutorials
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Language: Python - Size: 160 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 2,131 - Forks: 989
sanjanb/BiasNet-Pretrained-Model
By leveraging the power of large, diverse datasets and advanced neural network architectures, DeepFair helps mitigate biases and promote fairness in model predictions.
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PacktPublishing/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
Language: Python - Size: 700 MB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 1,914 - Forks: 989
msaakaash/deepLearning
Implementations of Neural Networks and Deep Learning algorithms, inspired by the Neural Networks and Deep Learning course from the 3rd year of B.Tech CSE at Amrita Vishwa Vidyapeetham, Coimbatore, taught by Dr. Anbazhagan M.
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soham-b-github/DL-NLP-Assignments
Assignments for the course Deep Learning and its applications in Natural Language Processing at RKMVERI for the programme M.Sc. BDA
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sylvaticus/BetaML.jl
Beta Machine Learning Toolkit
Language: Julia - Size: 34.5 MB - Last synced at: 6 days ago - Pushed at: 16 days ago - Stars: 99 - Forks: 13
WilliamZhang20/Credit-Card-Fraud-Detection
Applied a wide variety of anomaly detection algorithms
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VivekPa/AIAlpha
Use unsupervised and supervised learning to predict stocks
Language: Python - Size: 13.2 MB - Last synced at: 16 days ago - Pushed at: almost 5 years ago - Stars: 1,819 - Forks: 450
AmrShaaban99/super-resolution
This project shows Image Super Resolution using Deep Learning . Seven models are implemented SRCNN, FSRCNN,ESPCN, RDN, RFDN, Autoencoder and ESRGAN.
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NELSONZHAO/zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Language: Jupyter Notebook - Size: 157 MB - Last synced at: 17 days ago - Pushed at: almost 4 years ago - Stars: 3,514 - Forks: 2,129
akurgat/automating-technical-analysis
Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.
Language: Python - Size: 53.6 MB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 346 - Forks: 85
zombieTDV/A-Guide-to-Variational-Inference-and-Neural-Networks-for-Approximating-Latent-Spaces
Hướng dẫn và mã nguồn toàn diện về Suy luận Biến thiên và Mạng Nơ-ron (Autoencoder & VAE) cho bài toán xấp xỉ, trực quan hóa không gian ẩn với các thí nghiệm chi tiết trên không gian 2D và 32D.
Language: Python - Size: 81.4 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0
orroo/DEEP-NEPHRO
DEEP_NEPHRO is a university-led project focused on enhancing dialysis care through intelligent monitoring and optimization. By integrating machine learning and real-time data analysis, the project aims
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MorvanZhou/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
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jefkine/zeta-learn
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
Language: Python - Size: 10.6 MB - Last synced at: 16 days ago - Pushed at: over 4 years ago - Stars: 39 - Forks: 6
hughrawlinson/yeda 📦
High level audio features for Javascript
Size: 1000 Bytes - Last synced at: 15 days ago - Pushed at: over 9 years ago - Stars: 0 - Forks: 0
mahdjourOussama/intrusion-detection
This is a research project that I used as my end of studies project to obtain a state engineer degree in Information Systems from the National Polytechnic School of Oran, Algeria. The goal of this project is to find a new approach to enhance intrusion detection using both machine learning and deep learning techniques.
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Younes-Charfaoui/Feature-Selection-Techniques
Python code source for features selection 👨🔬 series on medium website. 📰
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phizaz/diffae
Official implementation of Diffusion Autoencoders
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sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
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cloudera/CML_AMP_Anomaly_Detection
Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
Language: Python - Size: 8.39 MB - Last synced at: about 18 hours ago - Pushed at: 6 months ago - Stars: 48 - Forks: 18
AG-Peter/encodermap
python library for dimensionality reduction
Language: Python - Size: 111 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 29 - Forks: 10
EpicElectrons/ZEROHACK-CODE
ZeroHack
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cair/tmu
Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.
Language: Python - Size: 300 MB - Last synced at: 18 days ago - Pushed at: about 1 month ago - Stars: 145 - Forks: 20
svats73/mdml
mdml: Deep Learning for Molecular Simulations
Language: Python - Size: 5.92 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 34 - Forks: 7
SURESHBEEKHANI/Autoencoders
This project is a practice implementation of an autoencoder, The primary use case for this autoencoder is for anomaly detection in sales data, but it can be adapted for other purposes. The autoencoder compresses the input data into a lower-dimensional representation and then reconstructs the original input from this representation.
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lucidrains/maskbit-pytorch
Implementation of the proposed MaskBit from Bytedance AI
Language: Python - Size: 295 KB - Last synced at: 17 days ago - Pushed at: 7 months ago - Stars: 78 - Forks: 1
shobrook/sequitur
Library of autoencoders for sequential data
Language: Python - Size: 1.94 MB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 441 - Forks: 56
BinRoot/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Language: Jupyter Notebook - Size: 43.6 MB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 4,449 - Forks: 1,201
Westlake-AI/inv-ML
[ECML-PKDD 2021] Invertible Manifold Learning for Dimension Reduction
Language: Python - Size: 8.2 MB - Last synced at: 25 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1
JulesBelveze/time-series-autoencoder
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
Language: Python - Size: 343 KB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 675 - Forks: 67
thad75/Tutorial-ELEVE
This repository contains AI Labs given to ENSEA SIA M2 Student and M1 Students. These labs broadly introduce the world of Deep Learning and their applications. I wrote them as a broad introduction to multiple AI Frameworks.
Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: 10 days ago - Pushed at: 4 months ago - Stars: 9 - Forks: 2
jonregef/sihl
Simple Image Heads and Layers for deep learning based computer vision
Language: Python - Size: 260 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 7 - Forks: 0
oke-aditya/image_similarity
PyTorch Blog Post On Image Similarity Search
Language: Python - Size: 7.16 MB - Last synced at: 19 days ago - Pushed at: almost 3 years ago - Stars: 256 - Forks: 60
m15kh/Image_Segmentation
implementation of Image Segmentation from scratch
Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: 26 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0
Fertmeneses/AI-quantum-noise-spectroscopy
Artificial Intelligence methods applied to quantum noise spectroscopy
Language: Jupyter Notebook - Size: 3.77 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0
SpeekeR99/DP_2024_2025_Zappe
Diplomová práce - ZČU, FAV, KIV ; Master's Thesis - UWB, FAS, DCSE
Language: Python - Size: 163 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0
indranil143/Image_Denoiser
Exploring CNN autoencoder techniques for MNIST image denoising, from basic to advanced architectures.
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OmarA32/House-Price-Prediction-and-Clustering-with-Deep-Learning
[WIP] House Price Prediction & Clustering. Utilizing PyTorch for neural networks, and Tkinter for the user interface.
Language: Python - Size: 932 KB - Last synced at: 2 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
rpng/calc
Convolutional Autoencoder for Loop Closure
Language: Python - Size: 31.6 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 199 - Forks: 46
mathLab/EZyRB
Easy Reduced Basis method
Language: Jupyter Notebook - Size: 37 MB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 85 - Forks: 65
shobhitraj1/CSE641-Deep-Learning
This repository contains my coursework (assignments & semester exams) for the Deep Learning course at IIIT Delhi in Winter 2025.
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amoussawi/recoder
Large scale training of factorization models for Collaborative Filtering with PyTorch
Language: Python - Size: 3.47 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 56 - Forks: 7
EndlessSora/focal-frequency-loss
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Language: Python - Size: 4.93 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 659 - Forks: 64
TimeDelta/q-vs-c_enc_dec_nonstationary
Quantum vs Classical, Autoregressive vs Reconstructive Encoder/Decoder Architectures on Non-Stationary Time-Series: Loss Landscapes and Latent Complexities with and without Recurrence
Language: Python - Size: 9.08 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
sumony2j/Autoencoder
Implementation of Vanilla, Deep, and Convolutional Autoencoders using TensorFlow on the MNIST dataset
Language: Jupyter Notebook - Size: 103 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
alexandre01/deepsvg
[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
Language: Jupyter Notebook - Size: 11 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 1,064 - Forks: 106
shahriar0651/NoiSec
Official Implementation of the NoiSec [ESORICS'25] paper: Let the Noise Speak — A Unified Defense Against Adversarial and Backdoor Attacks
Language: Python - Size: 524 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
greenelab/tybalt
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Language: HTML - Size: 99.3 MB - Last synced at: 16 days ago - Pushed at: over 6 years ago - Stars: 169 - Forks: 62
m-bien/CSC-429-PCA-AE-Project-4
Dimension reduction with PCA and AE
Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
benedekrozemberczki/DANMF
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Language: Python - Size: 2.31 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 205 - Forks: 41
LybahNisar/HandWritten-Digit-Recognization-using-Deep-Learning
Handwritten digit recognition on the MNIST dataset using deep learning techniques, achieving up to 99% accuracy with Dense Networks, CNNs, Data Augmentation, Dropout, and Autoencoders.
Language: Jupyter Notebook - Size: 3.51 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
m15kh/GAN
A basic PyTorch implementation of a vanilla autoencoder trained on the MNIST dataset for image reconstruction.
Language: Python - Size: 1.95 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0
look4pritam/ArtificialIntelligence
Artificial Intelligence
Language: Jupyter Notebook - Size: 79.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 11 - Forks: 5
Abimathi03/FACE_PREDICTION
Face Mask Reconstruction model using a Convolutional Autoencoder
Language: Jupyter Notebook - Size: 666 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
StefanDenn3r/Unsupervised_Anomaly_Detection_Brain_MRI
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Language: Python - Size: 97.7 KB - Last synced at: about 4 hours ago - Pushed at: about 2 years ago - Stars: 185 - Forks: 33
wagamamaz/tensorflow-tutorial
TensorFlow and Deep Learning Tutorials
Size: 7.81 KB - Last synced at: 14 days ago - Pushed at: over 7 years ago - Stars: 734 - Forks: 210
wmhello/laravel_template_with_vue
laravel6和vue-element-admin结合的前后端分离项目模板。包含接口端、管理端、小程序和微信公众号端，绝对是你做外包或者自建项目的首选模板。模板内容包括基础的用户管理和权限管理、日志管理、集成第三方登录，整合workerman框架中的GatewayWorker项目来实现了websocket 做到了消息的实时推送，并在此基础上，实现了聊天室和客服功能；实现低代码开发，能分析数据表内容及其设置，实现自动生成代码。
Language: PHP - Size: 89.6 MB - Last synced at: 15 days ago - Pushed at: almost 2 years ago - Stars: 970 - Forks: 269
marian42/shapegan
Generative Adversarial Networks and Autoencoders for 3D Shapes
Language: Python - Size: 25.7 MB - Last synced at: 19 days ago - Pushed at: over 3 years ago - Stars: 319 - Forks: 56
wubinzzu/NeuRec
Next RecSys Library
Language: Python - Size: 17.6 MB - Last synced at: 16 days ago - Pushed at: about 2 years ago - Stars: 1,057 - Forks: 220
frantorres14/Transaction-Fraud-Detection-Supervised-And-Unsupervised-Models
En este proyecto se prueban modelos de clasificación supervisado (XGBoost) y no supervisado (Autoencoder) para detectar transacciones fraudulentas con tarjetas de crédito en datos desbalanceados
Language: Jupyter Notebook - Size: 31.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
jbramburger/DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Language: Jupyter Notebook - Size: 79.1 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 111 - Forks: 20
KarthikSundaram4419/AutoAnomalyDetect
A sophisticated platform for anomaly detection in transaction data using autoencoders. Integrates SQL database connectivity, hyperparameter optimization, entropy analysis, and comprehensive visualizations. Tailored for financial fraud detection and industrial data analytics. (280 characters)
Language: Python - Size: 4.88 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
arssite/Datalysis
Contains Deep Learning Content and Algorithm. ANN_CNN_RNN(LSTM-GRU)_AUTOENCODER
Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 2
greenelab/shared-latent-space
Shared Latent Space VAE's
Language: Python - Size: 163 MB - Last synced at: 16 days ago - Pushed at: about 5 years ago - Stars: 26 - Forks: 6
pmelchior/spender
Spectrum encoder and decoder
Language: Python - Size: 402 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 39 - Forks: 11
measterpojo/Denoising-Autoencoders-DAEs-for-Domain-Adaptation
Denoising Autoencoders (DAEs) for Domain Adaptation using DAEs to find the invariant features for classification
Language: Jupyter Notebook - Size: 43 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
pamudu123/clustering-lab
Benchmarking 12 clustering algorithms (incl. deep autoencoder)
Language: Python - Size: 2.05 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
d41sys/CAN-AE-Transformer-IDS
Source code for paper "Multi-Classification In-Vehicle Intrusion Detection System using Packet- and Sequence-Level Characteristics from Time-Embedded Transformer with Autoencoder"
Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 29 - Forks: 0
the-aerospace-corporation/glaucus
Glaucus is a PyTorch complex-valued ML autoencoder & RF estimation python module.
Language: Python - Size: 1.2 MB - Last synced at: 9 days ago - Pushed at: 8 months ago - Stars: 25 - Forks: 2
saqib1707/RL-Robot-Manipulation
Inverse Reinforcement Learning for Robot Hand Manipulation Task
Language: HTML - Size: 57.9 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 13 - Forks: 1
PRITHIVSAKTHIUR/Multilabel-Portrait-SigLIP2
Multilabel-Portrait-SigLIP2 is a vision-language model fine-tuned from google/siglip2-base-patch16-224 using the SiglipForImageClassification architecture. It classifies portrait-style images into one of the following visual portrait categories:
Language: Python - Size: 10.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
AutoViML/featurewiz_polars
New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.
Language: Python - Size: 660 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 25 - Forks: 1
HasnainRaz/Skin-Segmentation-TensorFlow
A modified SegNet Convolutional Neural Net for segmenting human skin from images
Language: Python - Size: 43 KB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 59 - Forks: 12
