dewenzeng

PatchMixer

About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"

LMOps

General technology for enabling AI capabilities w/ LLMs and MLLMs

Awesome-LLM-Prompt-Optimization

Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models

automatic_prompt_engineer

PromptAgent

This is the official repo for "PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization". PromptAgent is a novel automatic prompt optimization method that autonomously crafts prompts equivalent in quality to those handcrafted by experts, i.e., expert-level prompts.

opro

official code for "Large Language Models as Optimizers"

Adala

Adala: Autonomous DAta (Labeling) Agent framework

dspy

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

MedSAM

Segment Anything in Medical Images

llm-course

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

mage

A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

rcg

PyTorch implementation of RCG https://arxiv.org/abs/2312.03701

ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

Repfusion

diffusion

Representation Learning with Diffusion Models

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

FFCV-SSL

FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.

DenoisingDiffusionProbabilityModel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

lightly

A python library for self-supervised learning on images.

BigGAN-PyTorch

The author's officially unofficial PyTorch BigGAN implementation.

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

GAN

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

diffae

Official implementation of Diffusion Autoencoders

CLAE

Implementation of Contrastive Learning with Adversarial Examples

datasetGAN_release

d2c

PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.