Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Horovod | 13,921 | 20 | 16 | a month ago | 77 | June 12, 2023 | 372 | other | Python | |
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. | ||||||||||
Paddle Lite | 6,823 | 22 days ago | 1,220 | apache-2.0 | C++ | |||||
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎) | ||||||||||
Simulator | 2,029 | a year ago | 625 | other | C# | |||||
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles | ||||||||||
Ai Chip | 1,509 | 7 months ago | 25 | PHP | ||||||
A list of ICs and IPs for AI, Machine Learning and Deep Learning. | ||||||||||
Tensorflow 101 | 1,100 | 5 years ago | 9 | Python | ||||||
learn code with tensorflow | ||||||||||
Paddle.js | 873 | 6 months ago | 9 | June 12, 2022 | 90 | apache-2.0 | JavaScript | |||
Paddle.js is a web project for Baidu PaddlePaddle, which is an open source deep learning framework running in the browser. Paddle.js can either load a pre-trained model, or transforming a model from paddle-hub with model transforming tools provided by Paddle.js. It could run in every browser with WebGL/WebGPU/WebAssembly supported. It could also run in Baidu Smartprogram and WX miniprogram. | ||||||||||
Switchable Normalization | 771 | 4 years ago | 12 | HTML | ||||||
Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779 | ||||||||||
Graspnet Baseline | 280 | 8 months ago | 2 | other | Python | |||||
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020) | ||||||||||
Kerasdeepspeech | 244 | 6 years ago | 13 | agpl-3.0 | Python | |||||
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation | ||||||||||
Deep Iterative Collaboration | 230 | 3 years ago | 5 | mit | Python | |||||
Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020) |