Lists (1)
Stars
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
《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
High-Resolution Image Synthesis with Latent Diffusion Models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Datasets, Transforms and Models specific to Computer Vision
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
End-to-End Object Detection with Transformers
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A MNIST-like fashion product database. Benchmark 👇
A paper list of object detection using deep learning.
An open source implementation of CLIP.
Hydra is a framework for elegantly configuring complex applications
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Anomaly detection related books, papers, videos, and toolboxes
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Pytorch implementation of convolutional neural network visualization techniques
A Collection of Variational Autoencoders (VAE) in PyTorch.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.