The official code of "Rethinking Local Perception in Lightweight Vision Transformer"

ChatGPT with superpowers! Search chat history, create folders, export all chats, pin messages, access thousands of community prompts, incognito mode, language and tone selection, and many more feat…

LLM powered development for VSCode

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

🚀💪Maximize your efficiency and productivity. The ultimate hub to manage, customize, and share prompts. (English/中文/Español/العربية). 让生产力加倍的 AI 快捷指令。更高效地管理提示词，在分享社区中发现适用于不同场景的灵感。

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

[CVPR 2023] Code for PConv and FasterNet

Convert Machine Learning Code Between Frameworks

Supercharge Your Model Training

A game theoretic approach to explain the output of any machine learning model.

Visualization toolkit for neural networks in PyTorch! Demo -->

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

🔠Foreign language reading and translation assistant based on copy and translate.

yolov5 version6.0

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

AI Challenger 2018 农作物病害检测

Simplify your onnx model

Open standard for machine learning interoperability

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

pytorch AutoSlim tools，支持三行代码对pytorch模型进行剪枝压缩

yolov5 prune，Support V2, V3, V4 and V6 versions of yolov5

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.