Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Magnificent app which corrects your previous console command.
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
The fundamental package for scientific computing with Python.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
😘 让你“爱”上 GitHub,解决访问时图裂、加载慢的问题。(无需安装)
State-of-the-art 2D and 3D Face Analysis Project
Image-to-Image Translation in PyTorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
NumPy aware dynamic Python compiler using LLVM
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
A PyTorch implementation of EfficientNet
Pytorch implementation of convolutional neural network visualization techniques
Distributed Asynchronous Hyperparameter Optimization in Python
Implementation of Graph Convolutional Networks in TensorFlow
🔥 2D and 3D Face alignment library build using pytorch