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

✨✨Latest Advances on Multimodal Large Language Models

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

深度学习经典、新论文逐段精读

基于Pytorch的OCR工具库，支持常用的文字检测和识别算法

The codebase for Data-driven general-purpose voice activity detection.

Deezer source separation library including pretrained models.

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding.

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

shadowsocks.wiki

Master the command line, in one page

⏬ Dumb downloader that scrapes the web

A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型

https://www.kaggle.com/c/humpback-whale-identification

This is a list of features, scripts, blogs and resources for better using Kaldi ( http://kaldi-asr.org/ )

Final Weibo Crawler Scrap Anything From Weibo, comments, weibo contents, followers, anything. The Terminator

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

100+ Chinese Word Vectors 上百种预训练中文词向量

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Python programs to practice or demonstrate skills.

FastCGI support for Kaldi ASR

A Chinese Nature Language Toolkit

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

Python parser for SubRip (srt) files

Speech Recognition using DeepSpeech2 and the CTC activation function. Edit

Non official project based on original /r/Deepfakes thread. Many thanks to him!