AI 开源项目榜。
Turn detection for full-duplex dialogue communication
Code for fine-tuning Platypus fam LLMs using LoRA
Convert Any OpenAPI V3 API to MCP Server
Python on Zynq FPGA for Convolutional Neural Networks
Free, open-source AI Office suite (Word, Excel, PowerPoint, PDF, Markdown) — macOS build, one-click install
Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)
Data mining for materials science
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.
Selection of resources to learn Artificial Intelligence / Machine Learning / Statistical Inference / Deep Learning / Reinforcement Learning
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Turn any MCP server, OpenAPI spec, or GraphQL endpoint into a CLI at runtime.
Implementation of Siamese Neural Networks for One-shot Image Recognition
Explore the Multimodal “Aha Moment” on 2B Model
1 million FPS multi-agent driving simulator
A prompt engineering functional programming language
ROS2 meets OpenClaw 💗
Build fully-functioning computer vision models with PyTorch
Python package for performing Entity and Text Matching using Deep Learning.
A Fast TTS Engine
Medical image processing in Python
Code for the paper "Meta-Learning Shared Hierarchies"
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。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions
A flexible, effective and fast cross-view gait recognition network
Tools for understanding how transformer predictions are built layer-by-layer
💎 Detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).
A code-first, composable SDK to build powerful AI agents
A multi-purpose LLM framework for RAG and data creation.
Original and practical skills for AI builders.
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.