AI open source rankings.
YoloV3 Implemented in Tensorflow 2.0
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
Message Passing Neural Networks for Molecule Property Prediction
⚡ 需求分析效率提升 200%！全球首个为 AI 编程时代设计的团队协作 MCP 服务器，自动分析需求自动编写前后端代码，下载切图
📖 A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
extendable code review and QA agent 🚢
Summaries of machine learning papers
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
Python interface to the WebRTC Voice Activity Detector
Auto-Manage Your Personal Task Context with AI.
Code for the Make Your Own Neural Network book
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
A curated list of neural network pruning resources.
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
兜哥出品 <一本开源的NLP入门书籍>
Convolutional recurrent network in pytorch
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
MTCNN face detection implementation for TensorFlow, as a PIP package.
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
A Python library that helps data scientists to infer causation rather than observing correlation.
Coding the Machine Learning Tutorial for Learning to Learn
High-efficiency floating-point neural network inference operators for mobile, server, and Web
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Graphormer is a general-purpose deep learning backbone for molecular modeling.
Render any git repo into a single static HTML page for humans or LLMs
A collection of research papers on decision, classification and regression trees with implementations.
Bitterbot - a mesh of agents that turns shared experience into collective capability.
A fast Rust based tool to serialize text-based files in a repository or directory for LLM consumption