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Starred repositories
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
A unified framework for privacy-preserving data analysis and machine learning
SmolDocling OCR App built using SmolDocling 256M Model and Streamlit.
SGLang is a fast serving framework for large language models and vision language models.
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
An rv32i inspired ISA, SIMT GPU implementation in system-verilog.
OpenOCR: A general OCR system with accuracy and efficiency. Supporting 24 Scene Text Recognition methods trained from scratch on large-scale real datasets, and will continue to add the latest methods.
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
SoTA LLM for converting natural language questions to SQL queries
A text extraction library supporting PDFs, images, office documents and more
Analyze videos using LLMs, Computer Vision and Automatic Speech Recognition
Finetune Llama 4, DeepSeek-R1, Gemma 3 & Reasoning LLMs 2x faster with 70% less memory! 🦥
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
SamWaf开源轻量级网站防火墙,完全私有化部署 SamWaf is a lightweight, open-source web application firewall for small companies, studios, and personal websites. It supports fully private deployment, encrypts data store…
wxPython's Project Phoenix. A new implementation of wxPython, better, stronger, faster than he was before.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Best Practices on Recommendation Systems
Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台,支持多方安全计算、联邦学习、隐私求交、匿踪查询等。
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A minimal GPU design in Verilog to learn how GPUs work from the ground up