dewenzeng's Stars
facebookresearch/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.
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—foundation models
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
CompVis/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
CompVis/taming-transformers
Taming Transformers for High-Resolution Image Synthesis
microsoft/LMOps
General technology for enabling AI capabilities w/ LLMs and MLLMs
openai/improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
lightly-ai/lightly
A python library for self-supervised learning on images.
yfeng95/GAN
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
ajbrock/BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
libffcv/ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
bowang-lab/MedSAM
Segment Anything in Medical Images
zoubohao/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.
keirp/automatic_prompt_engineer
HumanSignal/Adala
Adala: Autonomous DAta (Labeling) Agent framework
phizaz/diffae
Official implementation of Diffusion Autoencoders
LTH14/rcg
PyTorch implementation of RCG https://arxiv.org/abs/2312.03701
LTH14/mage
A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
google-deepmind/opro
official code for "Large Language Models as Optimizers"
nv-tlabs/datasetGAN_release
facebookresearch/FFCV-SSL
FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.
jxzhangjhu/Awesome-LLM-Prompt-Optimization
Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
Zeying-Gong/PatchMixer
About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"
XinyuanWangCS/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.
jiamings/d2c
PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.
Adamdad/Repfusion
jeremiastraub/diffusion
Representation Learning with Diffusion Models
chihhuiho/CLAE
Implementation of Contrastive Learning with Adversarial Examples