Lists (22)
Stars
🔥 Draw fast, think efficiently. | A simple tool for drawing graphs.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techn…
Just enough Kubernetes for you to fly
Next Generation Experimental Tracking for Machine Learning Operations
Building LLaMA 4 MoE from Scratch
Official code repository for the paper Molecule Generation with Fragment Retrieval Augmentation (NeurIPS 2024)
开箱即用的基于企业私有知识库的LLM大语言模型的智能客服机器人问答系统，支持私有化部署，代码免费开源且可商用，由芝麻小客服官方推出。
Save, load, host, and share AI model checkpoints without slowing down training. Host on Lightning AI or your own cloud with enterprise-grade access controls.
Sample-efficient Generative Molecular Design using Memory Manipulation
Labs for MIT 6.S184/6.S975, IAP 2025
A lightweight reinforcement learning framework that integrates seamlessly into your codebase, empowering developers to focus on algorithms with minimal intrusion.
AutoClickChem simulates click-chemistry reactions in silico to create large compound libraries for virtual drug screening and streamlined real-world synthesis.
A fully functional and simple Machine Learning library made entirely from scratch with Python.
CLI for SQLite Databases with auto-completion and syntax highlighting
PatWalters / SMILES-RNN
Forked from MorganCThomas/SMILES-RNNRepository for SMILES-based RNNs for reinforcement learning-based de novo molecule generation
The simplest, fastest repository for training/finetuning small-sized VLMs.
Auto3D generates low-energy conformers from SMILES/SDF
Scoring of shape and ESP similarity with RDKit
A simple and trans-platform rag framework and tutorial
Chris Titus Tech's Windows Utility - Install Programs, Tweaks, Fixes, and Updates
💰 RichQueue: A colourful and pythonic SLURM queue viewer
A carefully crafted, thoroughly tested, optimized companion library for SQLAlchemy
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/