Harness LLMs with Multi-Agent Programming

🔍 AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your da…

Generative Agents: Interactive Simulacra of Human Behavior

High-quality datasets, tools, and concepts for LLM fine-tuning.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

DevOps Roadmap for 2024. with learning resources

A fast implementation of T5/UL2 in PyTorch using Flash Attention

🥚 Transform PDF to JSON or Markdown with ease and speed 🐣

Python implementations (on jupyter notebook) of algorithms described in the book "PRML"

Implementation of Alphafold 3 in Pytorch

DSPy: The framework for programming—not prompting—foundation models

All-in-one text de-duplication

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

A repository for research on medium sized language models.

DataComp for Language Models

Retrieval and Retrieval-augmented LLMs

A Protein Large Language Model for Multi-Task Protein Language Processing

Running large language models on a single GPU for throughput-oriented scenarios.

Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models

Benchmarking library for RAG

Code for the paper "Bottleneck Minimal Indexing for Generative Document Retrieval" accepted by ICML 2024

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Code repo for CLERC: A Legal Precedent Dataset for Case Retrieval and Retrieval-Augmented Analysis Generation

A quick Mathematica tutorial

CoLLaM: A Comprehensive Benchmark for Evaluating Large Language Models in Legal Domain

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.