ekazakos

ekazakos's Stars

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook105k7398.3k17k

• chenfei-wu/TaskMatrix

  Language:Python34.5k3013563.3k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python33.7k3179644.9k

• openai/CLIP

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

  Language:Jupyter Notebook28.3k3264183.5k

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python22.3k1572703.2k

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python22.1k1581.6k2.4k

• microsoft/unilm

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

  Language:Python21k3041.4k2.6k

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python16.4k1462.3k2.6k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python11.4k835371.1k

• kkroening/ffmpeg-python

  Python bindings for FFmpeg - with complex filtering support

  Language:Python10.4k112716907

• open-mmlab/mmpose

  OpenMMLab Pose Estimation Toolbox and Benchmark.

  Language:Python6.3k551.5k1.3k

• OpenGVLab/LLaMA-Adapter

  [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

  Language:Python5.8k77146379

• facebookresearch/mmf

  A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

  Language:Python5.6k110657939

• salesforce/BLIP

  PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

  Language:Jupyter Notebook5.2k31206680

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.8k12830493

• facebookresearch/deit

  Official DeiT repository

  Language:Python4.2k46197564

• tlkh/asitop

  Perf monitoring CLI tool for Apple Silicon

  Language:Python4k3359165

• nightrome/really-awesome-gan

  A list of papers on Generative Adversarial (Neural) Networks

  3.8k2467707

• dmlc/decord

  An efficient video loader for deep learning with smart shuffling that's super easy to digest

  Language:C++2.1k29273175

• cvlab-columbia/viper

  Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"

  Language:Jupyter Notebook1.7k8648122

• lucidrains/flamingo-pytorch

  Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

  Language:Python1.2k211362

• KMnP/vpt

  ❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

  Language:Python1.1k77497

• allenai/visprog

  Official code for VisProg (CVPR 2023 Best Paper!)

  Language:Python714141866

• LukasBommes/mv-extractor

  Extract frames and motion vectors from H.264 and MPEG-4 encoded video.

  Language:C32744066

• taoyang1122/adapt-image-models

  [ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition

  Language:Python28914823

• antoyang/VidChapters

  [NeurIPS 2023 D&B] VidChapters-7M: Video Chapters at Scale

  Language:Jupyter Notebook18942221

• antoyang/just-ask

  [ICCV 2021 Oral + TPAMI] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

  Language:Jupyter Notebook12041315

• prannaykaul/mm-ovod

  Official repo for our ICML 23 paper: "Multi-Modal Classifiers for Open-Vocabulary Object Detection"

  Language:Python89677

• epic-kitchens/epic-sounds-annotations

  Splits for epic-sounds dataset

  Language:Python725165

• epic-kitchens/epic-sounds

  Language:CSS3300