Awj2021

Awj2021's Stars

• suno-ai/bark

  🔊 Text-Prompted Generative Audio Model

  Language:Jupyter Notebook36.1k3324444.3k

• coqui-ai/TTS

  🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

  Language:Python35.5k2951.1k4.3k

• facebookresearch/fairseq

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

  Language:Python30.5k4254.2k6.4k

• guoyww/AnimateDiff

  Official implementation of AnimateDiff.

  Language:Python10.6k104361872

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook9.2k95406825

• yl4579/StyleTTS2

  StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

  Language:Python5k77197417

• myshell-ai/MeloTTS

  High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.

  Language:Python4.8k40184630

• YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy

  Diffusion model papers, survey, and taxonomy

  3k538251

• sfikas/medical-imaging-datasets

  A list of Medical imaging datasets.

  2.3k615415

• tencent-ailab/V-Express

  V-Express aims to generate a talking head video under the control of a reference image, an audio, and a sequence of V-Kps images.

  Language:Python2.3k3951281

• IDEA-Research/Grounding-DINO-1.5-API

  API for Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series

  Language:Python779124522

• google-research/omniglue

  Code release for CVPR'24 submission 'OmniGlue'

  Language:Python575102650

• sail-sg/MDT

  Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)

  Language:Python526175238

• Jeff-LiangF/streamv2v

  Official Pytorch implementation of StreamV2V.

  Language:Python4507851

• G-U-N/Phased-Consistency-Model

  [NeurIPS 2024] Boosting the performance of consistency models with PCM!

  Language:Python364192012

• Francis-Rings/MotionFollower

  MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion

  Language:Python19116616

• wusize/CLIPSelf

  [ICLR2024 Spotlight] Code Release of CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction

  Language:Python1686329

• Francis-Rings/MotionEditor

  [CVPR2024] MotionEditor is the first diffusion-based model capable of video motion editing.

  Language:Python137577

• haofanwang/T2I-Adapter-for-Diffusers

  Transfer the T2I-Adapter with any basemodel in diffusers🔥

  134658

• khawar-islam/diffuseMix

  Official PyTorch implementation of DiffuseMix : Label-Preserving Data Augmentation with Diffusion Models (CVPR'2024)

  Language:Python911127

• ChenhongyiYang/PPAL

  [CVPR 2024] Plug and Play Active Learning for Object Detection

  Language:Python8542110

• EasonXiao-888/GrootVL

  [NeurIPS2024 Spotlight] The official implementation of GrootVL: Tree Topology is All You Need in State Space Model

  Language:Python833112

• abachaa/VQA-Med-2019

  Visual Question Answering in the Medical Domain VQA-Med 2019

  822224

• Curt-Park/yolo-world-with-efficientvit-sam

  YOLO-World + EfficientViT SAM

  Language:Python76219

• 10Ring/LAA-Net

  The official implementation for LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection

  Language:Python642159

• roymiles/VkD

  [CVPR 2024] VkD : Improving Knowledge Distillation using Orthogonal Projections

  Language:Python471102

• zhengli97/DM-KD

  Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)

  Language:Python45632

• apapiu/mamba_small_bench

  Trying out the Mamba architecture on small examples (cifar-10, shakespeare char level etc.)

  Language:Python42354

• YtongXie/PairAug

  [CVPR2024] PairAug: What Can Augmented Image-Text Pairs Do for Radiology?

  Language:Python27101

• ies-research/multi-annotator-machine-learning

  Training with Data Annotated by Multipe Error-prone Annotators

  Language:Python41