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Solve Visual Understanding with Reinforced VLMs
A visuailzation tool to make deep understaning and easier debugging for RLHF training.
[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition
Safety helmet wearing detect dataset, with pretrained model
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.
LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案
Deezer source separation library including pretrained models.
[ICLR2024] The official implementation of paper "VDT: General-purpose Video Diffusion Transformers via Mask Modeling", by Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding.
Open-Sora: Democratizing Efficient Video Production for All
LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models (ECCV 2024)
A little spider which can help you to get your own paper list from https://arxiv.org/ every day.
SALMONN: Speech Audio Language Music Open Neural Network
Official implementation of paper "MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens"
[CVPR 2024 Highlight🔥] Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
✨✨Latest Advances on Multimodal Large Language Models
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
LAVIS - A One-stop Library for Language-Vision Intelligence
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Lucas Kanade Implementation with and without pyramid
Variants of the classic Lucas-Kanade image alignment algorithm
Official PyTorch implementation of SegFormer
Fiji's Stitching plugins reconstruct big images from tiled input images.
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.