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This repo includes ChatGPT prompt curation to use ChatGPT better.
Everything you need to build state-of-the-art foundation models, end-to-end.
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
A Foundation Model for Generalist Gaming Agents
Repositories
29Everything you need to build state-of-the-art foundation models, end-to-end.
This repo includes ChatGPT prompt curation to use ChatGPT better.
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
No description provided.
A Foundation Model for Generalist Gaming Agents
No description provided.
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
No description provided.
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
No fortress, purely open ground. OpenManus is Coming.
Master programming by recreating your favorite technologies from scratch.
Fully open reproduction of DeepSeek-R1
🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
No description provided.
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
No description provided.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
High accuracy RAG for answering questions from scientific documents with citations
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
No description provided.
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Singing Voice Conversion via diffusion model
JARVIS, a system to connect LLMs with ML community
Starter kit for new players of Terminal. Contains starter-algo and a basic CLI for running/debugging algo's locally.
Bookdown source files for EDAV final project
VIP cheatsheets for Stanford's CS 229 Machine Learning
Quantifying Contribution of Different Features to Unfairness in AI
Extra blocks for scikit-learn pipelines.