Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Catalyst | 3,151 | 19 | 19 | 9 months ago | 108 | April 29, 2022 | 6 | apache-2.0 | Python | |
Accelerated deep learning R&D | ||||||||||
Deepdetect | 2,492 | 3 months ago | 92 | other | C++ | |||||
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE | ||||||||||
Deep Learning For Tracking And Detection | 2,270 | 5 months ago | 5 | HTML | ||||||
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning | ||||||||||
Sod | 1,651 | 9 months ago | 5 | other | C | |||||
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable) | ||||||||||
Practical Deep Learning Book | 675 | 8 months ago | 17 | mit | Jupyter Notebook | |||||
Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge | ||||||||||
Dataset_synthesizer | 384 | 3 years ago | 38 | other | C++ | |||||
NVIDIA Deep learning Dataset Synthesizer (NDDS) | ||||||||||
Jeelizar | 338 | 2 years ago | apache-2.0 | JavaScript | ||||||
JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL. | ||||||||||
Objectdetection Coreml | 199 | 10 months ago | 9 | mit | Swift | |||||
An example running Object Detection using Core ML (YOLOv8, YOLOv5, YOLOv3, MobileNetV2+SSDLite) | ||||||||||
Deep Learning With Python | 197 | 3 years ago | 2 | mit | Jupyter Notebook | |||||
Deep learning codes and projects using Python | ||||||||||
Deep Learning For Hackers | 196 | 4 years ago | 2 | mit | Jupyter Notebook | |||||
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) |