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Neural Network Compression Framework for enhanced OpenVINO™ inference
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Hackable and optimized Transformers building blocks, supporting a composable construction.
The official Pytorch implementation of OCNet series and SegFix.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
We write your reusable computer vision tools. 💜
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
API for Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
MambaOut: Do We Really Need Mamba for Vision?
EfficientViT is a new family of vision models for efficient high-resolution vision.
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Faster depthwise convolutions for PyTorch
(CVPR 2024) Bridging the Gap Between End-to-End and Two-Step Text Spotting.
An autoregressive character-level language model for making more things
CoreNet: A library for training deep neural networks
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
【CVPR 2024 Highlight】Monkey (LMM): Image Resolution and Text Label Are Important Things for Large Multi-modal Models