AI Agent Skills

Accessible large language models via k-bit quantization for PyTorch.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Machine learning metrics for distributed, scalable PyTorch applications.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Implement a reasoning LLM in PyTorch from scratch, step by step

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl /…

《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from…

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLM…

An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有te…

Application implementation with business use cases for safely utilizing generative AI in business operations