Stars
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8…
⚡ Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and …
Pretrained models for TensorFlow.js
Cross-platform, customizable ML solutions for live and streaming media.
WebCodecs is a flexible web API for encoding and decoding audio and video.
Branch of the spec repo scoped to discussion of SIMD in WebAssembly
Open source code for AlphaFold 2.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
文言文編程語言 A programming language for the ancient Chinese.
A Python implementation of global optimization with gaussian processes.
A tiling window manager for macOS based on binary space partitioning
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
The fundamental package for scientific computing with Python.
Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Deep learning with dynamic computation graphs in TensorFlow
Implementation of Graph Convolutional Networks in TensorFlow
Semi-supervised learning with graph embeddings
Training computational graph on top of structured data (string, graph, etc)
VLC media player - plays everything, runs anywhere. Code here: https://code.videolan.org/videolan/vlc
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Im…