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《动手学大模型Dive into LLMs》系列编程实践教程
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspi…
An open-source AI agent that brings the power of Gemini directly into your terminal.
Fit interpretable models. Explain blackbox machine learning.
Uplift modeling and causal inference with machine learning algorithms
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
🤗 smolagents: a barebones library for agents that think in code.
Faker is a Python package that generates fake data for you.
Always know what to expect from your data.
This repository contains the Hugging Face Agents Course.
An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Chinese copywriting guidelines for better written communication／中文文案排版指北
Python implementation of nproc: Neyman-Pearson (NP) Classification Algorithms. To install: pip install nproc
Let your Claude able to think
🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
AI chatbot that connects with users emotionally and recommends a song that matches their current mood.
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & C…
Production-ready platform for agentic workflow development.
😎 A curated list of awesome github pages porfolio templates 📝
Python packaging and dependency management made easy
Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.