Agent framework for constructing language model agents and training on constructive tasks.

RAG that intelligently adapts to your use case, data, and queries

A competition to get you started on the NeurIPS AI Hackercup

Manual Prompt Injection / Red Teaming Tool

Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚

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

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

OpenUI let's you describe UI using your imagination, then see it rendered live.

NMA deep learning course

Arsenal of python utilities.

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

David Attenborough narrates your life

PDEBench: An Extensive Benchmark for Scientific Machine Learning

LLM inference in C/C++

AI companions with memory: a lightweight stack to create and host your own AI companions

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Fast and flexible reference benchmarks

Physical Symbolic Optimization

High accuracy RAG for answering questions from scientific documents with citations

Deep Batch Active Learning for Regression

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

GFlowNet library specialized for graph & molecular data

Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design

A modular, easy to extend GFlowNet library

Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"

CSuite: A Suite of Benchmark Datasets for Causality