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GitHub topics: small-dataset

JosephPB/XNet

CNN implementation for medical X-Ray image segmentation

Language: Jupyter Notebook - Size: 2.44 MB - Last synced at: 10 days ago - Pushed at: almost 3 years ago - Stars: 96 - Forks: 30

Heldenkombinat/Logodetect

Find logos in images and videos in just one-shot. Never be embarrassed again to say that you have a small data situation!

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 67 - Forks: 10

antonio-f/mixture-of-experts-from-scratch

Mixture of Experts from scratch

Language: Jupyter Notebook - Size: 234 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

aimclub/asid

AutoML tool for imbalanced and small tabular datasets

Language: Python - Size: 5.33 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 6 - Forks: 2

nurulashraf/transfer-learning-alpaca-classification

A transfer learning project using MobileNet and the Alpaca Dataset for image classification. Includes data preprocessing, model fine-tuning, evaluation, and deployment. Demonstrates efficient computer vision workflows with small, specialised datasets.

Language: Jupyter Notebook - Size: 110 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

jingyuanz/protonet-bert-text-classification

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

Language: Python - Size: 89.8 KB - Last synced at: 7 months ago - Pushed at: almost 5 years ago - Stars: 27 - Forks: 5

kangchengX/CNN-ViT

Implements MobileViT and ViT from scratch, compatible with graph execution mode in tensorflow. Compares multiple cnn and transformer-based models including VGG, ResNet, ViT and MobileViT on a small data set.

Language: Python - Size: 3.85 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

chogerlate/alexnet-pytorch

This project implements AlexNet, a pioneering convolutional neural network architecture, using PyTorch. The implementation is based on the original paper by Krizhevsky et al. (2012).

Language: Jupyter Notebook - Size: 637 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

thomberg1/SmallDatasetsAnalysis

Experiments with artificial neural networks on small datasets.

Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: 9 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 3

zzw922cn/TensorFlow-Input-Pipeline

TensorFlow Input Pipeline Examples based on multi-thread and FIFOQueue

Language: Python - Size: 61.5 KB - Last synced at: 4 months ago - Pushed at: about 8 years ago - Stars: 52 - Forks: 16

JakobLS/CancerSEEK

Cancer detection through a blood test (CancerSEEK) using machine learning techniques.

Size: 4.06 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

dyt08/diabetes-prediction

Language: Jupyter Notebook - Size: 4.36 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

david-thrower/residual_MLP_Tests

Tests I am performing on a Python package for building residual multi - layer perceptrons and tandem [any model] -> ResMLPs models, useful for effective transfer learning. A pypi package should be coming soon.

Language: Jupyter Notebook - Size: 80.4 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Data-Science-kosta/Long-texts-Sentiment-Analysis-RoBERTa

PyTorch implementation of Sentiment Analysis of the long texts written in Serbian language (which is underused language) using pretrained Multilingual RoBERTa based model (XLM-R) on the small dataset.

Language: Jupyter Notebook - Size: 8.5 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 7

Data-Science-kosta/Twitter-Sentiment-Analysis-RoBERTa

Sentiment Analysis of tweets written in underused Slavic languages (Serbian, Bosnian and Croatian) using pretrained multilingual RoBERTa based model XLM-R on 2 different datasets.

Language: Jupyter Notebook - Size: 4.74 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 1

IdanAzuri/glico-learning-small-sample

Generative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'

Language: Python - Size: 1.68 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 20 - Forks: 3

vigliensoni/clastic-music-blog Fork of jekyllt/jasper2

Research log for Clastic Music

Language: HTML - Size: 18.5 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

afiliot/Deep-Learning-For-Very-Small-Data

Homework on training deep networks with very small data - MVA MSc

Language: Jupyter Notebook - Size: 23.6 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

zyz293/Deep-learning-domain-knowledge-integration

A deep learning based domain knowledge integration for small dataset

Language: Python - Size: 6.23 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

zkud/dirty-vs-cleaned

My solution of dirty/cleaned plates recognition kaggle task

Language: Jupyter Notebook - Size: 8.05 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0

Crone1/Health_Data_Analysis

This project focused on the analysis of the sleep, activity, food intake, and loop activity of a very small sample of students

Language: Jupyter Notebook - Size: 2.38 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

hasanur-rahman/CodeJam-Solutions

This repo contains previous years' codejam solutions

Language: C++ - Size: 28.3 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

NU-CUCIS/DKACNN

A deep learning based domain knowledge integration for small dataset

Language: Python - Size: 6.21 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 1

Related Keywords
small-dataset 23 deep-learning 7 image-classification 4 machine-learning 4 convolutional-neural-networks 3 python 3 bert 3 pytorch 3 domain-knowledge-integration 2 nlp 2 sentiment-analysis 2 serbian 2 large-dataset 2 xlm-roberta 2 generative-model 2 tensorflow 2 computer-vision 2 jupyter-notebook 2 materials-informatics 2 roberta-model 2 roberta 2 transfer-learning 2 text-classification 2 neural-network 2 bosnian 1 croatian 1 pretrained-models 1 tweet 1 tweet-analysis 1 api 1 xlmroberta 1 serbian-language 1 pytorch-implementation 1 multilingual-models 1 multilingual 1 movie-reviews 1 lstm 1 long-texts 1 tensorflow2 1 residual-networks 1 neural-architecture-search 1 solutions 1 round-1 1 data-structures 1 cpp-solutions 1 cpp 1 codejam-solutions 1 codejam 1 quality-of-life 1 health-data 1 analysis 1 ml 1 kaggle 1 wavelet 1 vgg 1 mva 1 dcgan 1 data-augmentation 1 cifar-10 1 sound 1 performance 1 music 1 paper 1 twitter-sentiment-analysis 1 twitter-apis 1 twitter-api 1 twitter 1 protonet 1 few-shot-learning 1 model-fine-tuning 1 mobilenetv2 1 alpaca-dataset 1 tabular-data 1 imbalanced-learning 1 automl 1 tutorial 1 simple 1 routing 1 mixture-of-experts 1 hands-on 1 gating 1 from-scratch 1 easy 1 conditional-computation 1 artificial-intelligence 1 video-processing 1 one-shot-learning 1 object-detection 1 logo-detection 1 image-processing 1 segmentation 1 medical-imaging 1 multi-layer-perceptron 1 machine-learning-algorithms 1 deep-neural-networks 1 xgboost 1 smote 1 random-forest 1 logistic-regression 1 diabetes 1