shuningjin

discrete-text-rep

python-guide

Python best practices guidebook, written for humans.

llama

Inference code for Llama models

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.

autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

LM-reasoning

This repository contains a collection of papers and resources on Reasoning in Large Language Models.

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

imaginaire

NVIDIA's Deep Imagination Team's PyTorch Library

DALLE2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

BLIP

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

glide-text2im

GLIDE: a diffusion-based text-conditional image synthesis model

SemEval-2020-Task-7

Assessing Humor in Edited News Headlines

Awesome-Text-to-Image

(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

dm-haiku

JAX-based neural network library

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

SEED-Encoder

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

Learning-OpenCV-4-Computer-Vision-with-Python-Third-Edition

Learning OpenCV 4 Computer Vision with Python 3 – Third Edition, published by Packt

ml-road

Machine Learning Resources, Practice and Research

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

GMVAE

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

vae_vampprior

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling