Starred repositories
Stable Diffusion web UI
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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.
No fortress, purely open ground. OpenManus is Coming.
High-Resolution Image Synthesis with Latent Diffusion Models
A library for efficient similarity search and clustering of dense vectors.
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.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Open-Sora: Democratizing Efficient Video Production for All
Generative Models by Stability AI
A curated list of awesome Deep Learning tutorials, projects and communities.
Industry leading face manipulation platform
Image-to-Image Translation in PyTorch
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
哔哩下载姬downkyi，哔哩哔哩网站视频下载工具，支持批量下载，支持8K、HDR、杜比视界，提供工具箱（音视频提取、去水印等）。
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
WebUI extension for ControlNet
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习