All Algorithms implemented in Python

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

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

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Machine Learning Engineering Open Book

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

A PyTorch-based Speech Toolkit

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

An open-source framework for training large multimodal models.

[CVPR2024, Highlight] Official code for DragDiffusion

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks

The code used to train and run inference with the ColPali architecture.

This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]

Enables use of ChatGPT directly from the UI

Next generation FEniCS Form Compiler for finite element forms

Monolithic Fluid-Structure Interaction (FSI) solver