yi94code

stanford_alpaca. Code and documentation to train Stanford's Alpaca models, and generate the data.

Awesome-Incremental-Learning. Awesome Incremental Learning

awesome-industrial-anomaly-detection. Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

python-guide. Python best practices guidebook, written for humans.

LLMsPracticalGuide. A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

segment-anything. The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

ColossalAI. Making large AI models cheaper, faster and more accessible

LMFlow. An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

roomGPT. Upload a photo of your room to generate your dream room with AI.

diffusers. 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

awesome-aigc. A list of awesome AIGC works

TaskMatrix. Python

stable-diffusion-webui-colab. stable diffusion webui colab

Python. All Algorithms implemented in Python

FewShotLearning-tSF. Code for ECCV 2022 paper "tSF: Transformer-based Semantic Filter for Few-Shot Learning"

code-of-learn-deep-learning-with-pytorch. This is code of book "Learn Deep Learning with PyTorch"

MCTformer. Code for CVPR 2022 paper "Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation"

pytorch-image-models. The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

AnchorDETR. An official implementation of the Anchor DETR.

FACIL. Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

PixelNet. The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

efficientnet_tf_pytorch_caffe. Python

HRSOD. Jupyter Notebook