LilyEvansHogwarts

AutoGPT

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.

ChatGLM-6B

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

PlotNeuralNet

Latex code for making neural networks diagrams

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

MOSS

An open-source tool-augmented conversational language model from Fudan University

LLMsPracticalGuide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

composer

Supercharge Your Model Training

RedPajama-Data

The RedPajama-Data repository contains code for preparing large datasets for training large language models.

nevergrad

A Python toolbox for performing gradient-free optimization

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

human-eval

Code for the paper "Evaluating Large Language Models Trained on Code"

MathJax-src

MathJax source code for version 3 and beyond

DAMO-ConvAI

DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.

deduplicate-text-datasets

grade-school-math

cc_net

Tools to download and cleanup Common Crawl data

ToolLearningPapers

personal_chatgpt

personal chatgpt

MLP-Mixer-pytorch

Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision

Few-Shot-Learning

bert_t5_gpt

SAR

BFA

Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)

DropGNN

The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)

CNAS

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

TexturePacking

Graphically solve a texture packing problem with three approximate algorithms