Paddle
PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
OPENAGENTSKILL / DIRECTORY
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PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
AccumulateMore
✅(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】
onnx
Open standard for machine learning interoperability
Unity-Technologies
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agen…
screenpipe
YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure
apache
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
ggml-org
Tensor library for machine learning
DataTalksClub
Learn ML engineering for free in 4 months! Register here 👇🏼
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
bentoml
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
fivetran
Always know what to expect from your data.
WeThinkIn
【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试秘籍。涵盖AIGC、LLM大模型、AI Agent、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、强化学习、大数据挖掘、具身智能、元宇宙、AGI等AI行业面试笔试干货经验与核心知识。
sktime
A unified framework for machine learning with time series
gorse-io
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Design direction, Figma implementation, UI review, React performance, browser QA, and safe preview deployments.
Code review, repo inspection, testing, planning, shipping, and engineering workflows for coding agents.
Research, recent-events briefings, PDF parsing, markdown conversion, RAG ingestion, and knowledge workflows.
Stock analysis, market research, quant backtesting, financial data, and investment research skills.
Crawling, scraping, extraction, browser automation, structured data capture, and website-to-markdown workflows.
Image, video, creative production, UI design, multimodal generation, and visual workflow skills.
Data analysis, analytics, ETL, notebooks, databases, tables, charts, and reporting workflows.
SEO, content research, growth workflows, social listening, campaign analysis, and publishing helpers.