Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

《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

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

PyTorch Tutorial for Deep Learning Researchers

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

SoftVC VITS Singing Voice Conversion

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

State-of-the-art 2D and 3D Face Analysis Project

Open standard for machine learning interoperability

PyTorch implementations of Generative Adversarial Networks.

Face recognition using Tensorflow

一款入门级的人脸、视频、文字检测以及识别的项目.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …

Image super-resolution through deep learning

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

交易模块

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

DeepLab v3+ model in PyTorch. Support different backbones.

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

OpenMMLab Model Deployment Framework

🔥🔥🔥 专注于YOLOv5，YOLOv7、YOLOv8、YOLOv9改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀