Stars
Implement a reasoning LLM in PyTorch from scratch, step by step
Meta-analysis of drug target evidence in single-cell data
A full-stack local deep research application built with LangGraph, supporting multiple LLM providers and search APIs. Powered by FastAPI + LangGraph backend and Next.js 15 + React 19 frontend, deli…
An agent using Langgraph and Agent Inbox to close stale issues
Chat2Graph: Graph Native Agentic System.
Mach-1.5 model training framework built on Savanna, supporting multi-species, hybrid convolutional architectures with preprocessed RefSeq data.
Code for "SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics".
The official Python SDK for Model Context Protocol servers and clients
An Open Implementation of Data Science AI Agent
A chatbot implementation compatible with MCP (terminal / streamlit supported)
A foundation model framework for analyzing multiplexed tissue imaging data across molecular, cellular and tissue scales enabling clinical diagnostics, biological discovery and patient case retrieval.
Tuning LLMs with no tears💦; Sample Design Engineering (SDE) for more efficient downstream-tuning.
LLM implementation one matrix multiplication at a time
Reproduction of the complete process of DeepSeek-R1 on small-scale models, including Pre-training, SFT, and RL.
BioNeMo Framework: For building and adapting AI models in drug discovery at scale
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
AI4S Cup -LLM挑战赛-大模型提取“基因-疾病-药物”知识图谱-解决方案-Rank4
Self-contained, minimalistic implementation of diffusion models with Pytorch.
Gemma open-weight LLM library, from Google DeepMind