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University of Chinese Academy of Sciences
- Beijing, China
- https://www.ucas.ac.cn/
Highlights
- Pro
Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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。
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
The definitive Web UI for local AI, with powerful features and easy setup.
Real-time face swap for PC streaming or video calls
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Graph Neural Network Library for PyTorch
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Fast and Accurate ML in 3 Lines of Code
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
A command line tool to download Android applications directly from the Google Play Store by specifying their package name (an initial one-time configuration is required)
open-source coding LLM for software engineering tasks
Learning from synthetic data - code and models
A Library for Advanced DL-based Website Fingerprinting Attacks.
Official PyTorch implementation of "AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network" in CVPR 2022.
[ECCV 2022] TinyViT: Fast Pretraining Distillation for Small Vision Transformers (https://github.com/microsoft/Cream/tree/main/TinyViT)
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising (CVPR 2023)
Accurate Mobile-App Fingerprinting Using Flow-level Relationship with Graph Neural Networks
Tools for Video Identification on LTE networks
Downlink control information-based Application identification via Supervised Contrastive Learning