Stars
- All languages
- Assembly
- C
- C#
- C++
- CMake
- CSS
- Cuda
- Dart
- Emacs Lisp
- GLSL
- Go
- Groovy
- HTML
- Haskell
- Java
- JavaScript
- Jupyter Notebook
- Kotlin
- Lua
- MATLAB
- Makefile
- Markdown
- Meson
- OCaml
- Objective-C
- Objective-C++
- PHP
- Python
- Roff
- Ruby
- Rust
- SCSS
- Scala
- Shell
- Solidity
- Swift
- TeX
- TypeScript
- Vala
- Vim Script
- Visual Basic
- Vue
Command-line program to download videos from YouTube.com and other video sites
Robust Speech Recognition via Large-Scale Weak Supervision
Models and examples built with TensorFlow
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
OpenMMLab Detection Toolbox and Benchmark
A book-in-progress about the Linux kernel and its insides.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Magenta: Music and Art Generation with Machine Intelligence
Code samples for my book "Neural Networks and Deep Learning"
Avatars for Zoom, Skype and other video-conferencing apps.
Python bindings for FFmpeg - with complex filtering support
Depth-Aware Video Frame Interpolation (CVPR 2019)
Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.
Keras code and weights files for popular deep learning models.
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.
Reverse engineering and pentesting for Android applications
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
效果更好的补帧软件,显存占用更小,是DAIN速度的10-25倍,包含抽帧处理,去除动漫卡顿感
PyTorch implementation of Super SloMo by Jiang et al.
Sarasra / models
Forked from tensorflow/modelsModels and examples built with TensorFlow