Li-hq1

Li-hq1's Stars

• hendrycks/robustness

  Corruption and Perturbation Robustness (ICLR 2019)

  Language:Python1k146

• iMeleon/EECS-498-007-598-005-solutions

  EECS 498-007 / 598-005 Deep Learning for Computer Vision

  Language:Jupyter Notebook15134

• tim-learn/awesome-test-time-adaptation

  Collection of awesome test-time (domain/batch/instance) adaptation methods

  71949

• FoundationVision/VAR

  [NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

  Language:Python4.2k309

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  Language:Python25.9k5.3k

• openai/guided-diffusion

  Language:Python6.2k819

• amtsai96/Learning-Lip-Sync-from-Audio

  Learning Lip Sync of Obama from Speech Audio

  Language:Python6624

• google-ai-edge/mediapipe

  Cross-platform, customizable ML solutions for live and streaming media.

  Language:C++27.4k5.1k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.4k4.1k

• 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.

  Language:Python1.5k164

• wzell/mann

  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)

  Language:Python6026

• Lily-Le/EcoTTA

  This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization

  Language:Python241

• yuchenlin/rebiber

  A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

  Language:Python2.6k158

• MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning

  This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

  Language:MATLAB3.7k509

• minar09/awesome-virtual-try-on

  A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

  2.2k273

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.9k350

• bethgelab/robustness

  Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

  Language:Python1295

• jmiemirza/ActMAD

  ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)

  Language:Python151

• YuejiangLIU/awesome-source-free-test-time-adaptation

  A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

  46644

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.3k1.6k

• PlexPt/awesome-chatgpt-prompts-zh

  ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

  52.6k13.5k

• Ma-Lab-Berkeley/MCR2

  Language:Python8022

• vasgaowei/TS-CAM

  Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

  Language:Jupyter Notebook13825

• PaddlePaddle/ERNIE

  Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

  Language:Python6.3k1.3k

• JunnYu/WoBERT_pytorch

  WoBERT_pytorch

  Language:Python403

• zlaom/2022_GAIIC_Task1_1st

  2022京东全球人工智能技术创新大赛 电商关键属性的图文匹配任务第1名方案

  Language:Python333

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook25.6k3.3k

• microsoft/unilm

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

  Language:Python20k2.5k

• facebookresearch/mae

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

  Language:Python7.3k1.2k

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.8k784