lstms | Topic | Ecosyste.ms: Repos

Topic: "lstms"

curiousily/Deep-Learning-For-Hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: about 14 hours ago - Pushed at: about 5 years ago - Stars: 1,047 - Forks: 439

ArrasL/LRP_for_LSTM

Layer-wise Relevance Propagation (LRP) for LSTMs.

Language: Python - Size: 12.4 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 204 - Forks: 58

perseus784/Vehicle_Collision_Prediction_Using_CNN-LSTMs

Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.

Language: Python - Size: 55.1 MB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 141 - Forks: 29

dido1998/Recurrent-Independent-Mechanisms

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

Language: Python - Size: 22.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 93 - Forks: 24

MrinmoiHossain/Udacity-Deep-Learning-Nanodegree

The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.

Language: Jupyter Notebook - Size: 403 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 54 - Forks: 29

AryanNanda17/NonStop-Lofi-Vibe-Generator

Size: 0 Bytes - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 44 - Forks: 23

crypto-code/Stock-Market

Stock Market Prediction & Trading Bot using AI

Language: Python - Size: 335 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 23 - Forks: 15

NotVinay/karaokey

Karaokey is a vocal remover that automatically separates the vocals and instruments. A deep learning model based on LSTMs has been trained to tackle the source separation. The model learns the particularities of music signals through its temporal structure.

Language: Python - Size: 346 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 21 - Forks: 6

nla-group/ABBA-LSTM

Language: Python - Size: 5.44 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 3

kyegomez/VortexFusion

Transformers + Mambas + LSTMS All in One Model

Language: Python - Size: 2.16 MB - Last synced at: 10 days ago - Pushed at: 26 days ago - Stars: 8 - Forks: 1

RhuthuHegde/Tensorflow-coursera

These are the notebook assignments from the deeplearning.ai Tensorflow course on coursera.

Language: Jupyter Notebook - Size: 7.19 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 3

lanl/clarm

Conditional Latent Autoregressive Recurrent Model for spatiotemporal learning

Language: Python - Size: 14 MB - Last synced at: 28 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 3

RemeAjayi/ds-job-detective

Text Extraction with POS Tagging and Deep Learning(LSTMs)

Language: Jupyter Notebook - Size: 20.3 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

Ankit152/Emotions-Detection-NLP

Emotions dataset for NLP classification tasks.

Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 2

mahindrautela/CLARM

Conditional Latent Autoregressive Recurrent Model for spatiotemporal learning

Size: 14 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

FelixSchuermann/speechenhancement-masterthesis

masters thesis on deep learning methods for speech enhancement

Language: Python - Size: 24.1 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

JekyllAndHyde8999/Kaggle-Submissions

This repo contains all of my submissions to Kaggle competitions or datasets

Language: Jupyter Notebook - Size: 801 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

anishgollakota/Stock-Prediction-Using-LSTMs

Built a stock prediction program in which the user can pick any company available on Yahoo! Finances and be able to predict the closing price of the stock based on the set date with high accuracy.

Language: Python - Size: 159 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

saqib1707/MultiAgent-Pursuer-Evader-Problem

This repository contains the work done as part of my B.Tech Project

Language: Python - Size: 386 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

harsh-xyz/TV-SCRIPT-GENERATION

Generation of Simpsons tv scripts using Recurrent neural networks using Tensorflow.

Language: HTML - Size: 121 KB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 2

aju22/Real-Time-ISL-Translation

Uses deep learning to translate Indian Sign Language in real-time

Language: Python - Size: 90.2 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

bissessk/Using-Sentiment-Analysis-to-Predict-Stock-Price-Movements-Using-LSTMs

Predicted the price movement of the Dow Jones, Apple, and Microsoft with 60% accuracy by experimenting with more than 100 ensembles of long-short term memory networks (LSTMs). NLP techniques were explored such as sentiment analysis to use as features in the model.

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 2

prats0599/hindi-nlp

State-of-the-art text classfication and language modelling in Hindi.

Language: Jupyter Notebook - Size: 160 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Sanjanaharishpoojary/electricity-demand-forecasting-ml

Predicting electricity demand using LSTM and Random Forest models. A Comparative study with load & weather data

Language: Python - Size: 2.26 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Dinakarnayak/DeepLearningAssignments

A collection of deep learning assignments covering RNNs, LSTMs, hyperparameter tuning, regularization, and advanced optimization techniques, providing hands-on experience with state-of-the-art neural network models and training strategies.

Language: Jupyter Notebook - Size: 10 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

jasonosaj96/personal_projects_and_assignments

Includes examples of code I have written both independently and collaboratively.

Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Billu98/YouTube-Video-Category-Classifier

A Natural language processing (NLP) project. Aim of the project is learning how to train RNNs specially LSTMs and other deep learning, machine learning techniques

Language: Python - Size: 1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ChinmayMittal/ELL881

Course Repository for ELL881 (Special Topics:Modern Natural Language Processing), 6th Semester, 2023, IITD

Language: Jupyter Notebook - Size: 47.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

sumedhachugh/Neural-Language-Generated-Text

Generated pseudo text using LSTMs (Long Short Term Memory networks) and GPT-2, evaluated how close this machine-generated text is to human-generated text by checking if they follow statistical features followed by human-generated text such as Zipf’s and Heap’s Laws for Words

Language: Jupyter Notebook - Size: 8.27 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0