TomatoSlasher

TomatoSlasher's Stars

• ytdl-org/youtube-dl

  Command-line program to download videos from YouTube.com and other video sites

  Language:Python135k2.2k26.7k10.3k

• papers-we-love/papers-we-love

  Papers from the computer science community to read and discuss.

  Language:Shell92.3k3.1k2455.9k

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python88.8k1.8k50.1k23.8k

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python36.5k48019.9k6.2k

• facebookresearch/sam2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook14.9k855041.6k

• KwaiVGI/LivePortrait

  Bring portraits to life!

  Language:Python14.6k1284211.6k

• OpenBMB/MiniCPM-V

  MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

  Language:Python13.1k107617914

• THUDM/CogVideo

  text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)

  Language:Python11.2k1355921.1k

• vikhyat/moondream

  tiny vision language model

  Language:Python7.8k63177604

• Kwai-Kolors/Kolors

  Kolors Team

  Language:Python4.3k44157327

• facebookresearch/co-tracker

  CoTracker is a model for tracking any point (pixel) on a video.

  Language:Jupyter Notebook4.2k35124288

• Tencent/HunyuanDiT

  Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

  Language:Jupyter Notebook4k42197336

• Breakthrough/PySceneDetect

  :movie_camera: Python and OpenCV-based scene cut/transition detection program & library.

  Language:Python3.8k68361429

• pytorch/torchtitan

  A PyTorch native library for large model training

  Language:Python3.6k52294332

• facebookresearch/fairscale

  PyTorch extensions for high performance and large scale training.

  Language:Python3.3k49362288

• dvlab-research/ControlNeXt

  Controllable video and image Generation, SVD, Animate Anyone, ControlNet, ControlNeXt, LoRA

  Language:Python1.6k258379

• microsoft/mup

  maximal update parametrization (µP)

  Language:Jupyter Notebook1.5k296298

• google-deepmind/tapnet

  Tracking Any Point (TAP)

  Language:Jupyter Notebook1.4k31131138

• ali-vilab/MimicBrush

  Official implementations for paper: Zero-shot Image Editing with Reference Imitation

  Language:Python1.2k132783

• kakaobrain/coyo-dataset

  COYO-700M: Large-scale Image-Text Pair Dataset

  Language:Python1.2k141639

• character-ai/prompt-poet

  Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.

  Language:Python1k9888

• cloneofsimo/minDiffusion

  Self-contained, minimalistic implementation of diffusion models with Pytorch.

  Language:Python940107128

• buoyancy99/diffusion-forcing

  code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"

  Language:Python801113140

• cloneofsimo/minRF

  Minimal implementation of scalable rectified flow transformers, based on SD3's approach

  Language:Jupyter Notebook5048944

• AssafSinger94/dino-tracker

  Official Pytorch Implementation for “DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video” (ECCV 2024)

  Language:Python475114144

• KellerJordan/cifar10-airbench

  CIFAR-10 speedruns: 94% in 2.6 seconds and 96% in 27 seconds

  Language:Python2275215

• hako-mikan/sd-webui-cd-tuner

  Color/Detail control for Stable Diffusion web-ui

  Language:Python2182279

• kijai/ComfyUI-ControlNeXt-SVD

  Language:Python1824128

• RuiningLi/DragAPart

  [ECCV 2024] Official Implementation of DragAPart: Learning a Part-Level Motion Prior for Articulated Objects.

  Language:Python78531

• moatifbutt/color-peel

  we propose to generate a series of geometric shapes with target colors to disentangle (or peel off ) the target colors from the shapes. By jointly learning on multiple color-shape images, we found that the method can successfully disentangle the color and shape concepts.

  Language:Python57637