ekazakos

ekazakos's Stars

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python36.8k2195.6k4.5k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python32.6k2685.7k5k

• Vision-CAIR/MiniGPT-4

  Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

  Language:Python25.5k2184692.9k

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python24.5k1614501.8k

• QwenLM/Qwen

  The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

  Language:Python15k1101.1k1.2k

• 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 Notebook13.3k764001.3k

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML11.6k2758911.4k

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook10.1k97676980

• huggingface/lerobot

  🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

  Language:Python8k85155804

• stanfordnlp/stanza

  Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

  Language:Python7.3k140907895

• gaomingqi/Track-Anything

  Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

  Language:Python6.6k62140483

• UX-Decoder/Segment-Everything-Everywhere-All-At-Once

  [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

  Language:Python4.4k59149412

• InternLM/xtuner

  An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

  Language:Python4.1k36545323

• open-mmlab/mmtracking

  OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

  Language:Python3.6k49465597

• visionml/pytracking

  Visual tracking library based on PyTorch.

  Language:Python3.3k83411608

• z-x-yang/Segment-and-Track-Anything

  An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

  Language:Jupyter Notebook2.9k52154343

• yunlong10/Awesome-LLMs-for-Video-Understanding

  🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.

  1.7k55588

• ttengwang/Caption-Anything

  Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/spaces/TencentARC/Caption-Anything https://huggingface.co/spaces/VIPLab/Caption-Anything

  Language:Python1.7k1624104

• microsoft/X-Decoder

  [CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language

  Language:Python1.3k3469137

• mbzuai-oryx/Video-ChatGPT

  [ACL 2024 🔥] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.

  Language:Python1.3k15123110

• ashkamath/mdetr

  Language:Python9851998129

• mbzuai-oryx/groundingLMM

  [CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.

  Language:Python799318038

• FoundationVision/Groma

  [ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization

  Language:Python586363661

• mbzuai-oryx/Video-LLaVA

  PG-Video-LLaVA: Pixel Grounding in Large Multimodal Video Models

  Language:Python248141711

• antoyang/TubeDETR

  [CVPR 2022 Oral] TubeDETR: Spatio-Temporal Video Grounding with Transformers

  Language:Python1733229

• Soldelli/Awesome-Temporal-Language-Grounding-in-Videos

  A curated list of grounding natural language in video and related area. :-)

  91105

• ROCm/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python516129

• ninatu/howtocaption

  Official implementation of "HowToCaption: Prompting LLMs to Transform Video Annotations at Scale." ECCV 2024

  Language:Python49510

• JacobChalk/TIM

  Codebase for the paper: "TIM: A Time Interval Machine for Audio-Visual Action Recognition"

  Language:Python393375

• Lzq5/Video-Text-Alignment

  Language:Python23200