chenshenghao

chenshenghao's Stars

• rustdesk/rustdesk

  An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.

  Language:Rust78.2k4863.2k10.9k

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python73.4k59908.8k

• hpcaitech/ColossalAI

  Making large AI models cheaper, faster and more accessible

  Language:Python39k3841.7k4.3k

• hankcs/HanLP

  中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

  Language:Python34.2k1.1k1.4k10.3k

• google/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30k3285.5k2.7k

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python23.6k1614248.1k

• microsoft/unilm

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

  Language:Python20.5k3051.4k2.6k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13.9k98181.1k

• ruanyf/document-style-guide

  中文技术文档的写作规范

  12.1k308452.3k

• rougier/scientific-visualization-book

  An open access book on scientific visualization using python and matplotlib

  Language:Python10.8k19043993

• Baiyuetribe/paper2gui

  Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术

  Language:Jupyter Notebook10.4k11689860

• andrewyng/translation-agent

  Language:Python5k5418584

• 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

• cerlymarco/MEDIUM_NoteBook

  Repository containing notebooks of my posts on Medium

  Language:Jupyter Notebook2.1k10251977

• alibaba/lowcode-demo

  An enterprise-class low-code technology stack with scale-out design / 一套面向扩展设计的企业级低代码技术体系

  Language:TypeScript1.7k410603

• lint-md/lint-md

  :books: 检查中文 markdown 编写格式规范的命令行工具，基于 AST，方便集成 CI，写博客 / 文档必备。支持 API 调用！

  Language:TypeScript933155853

• Hanley-Yao/Zynq7010_eink_controller

  这是一个基于Zynq7010的Eink控制器 在ED097TC2上高质量显示帧数高达10FPS

  Language:C37110745

• oh-jon-paul/awesome-i18n

  🌍 A curated list of i18n resources for all kind of languages and frameworks

  33910027

• crossin/snippet

  Crossin的编程教室 - 教学案例配套代码

  Language:Jupyter Notebook319123271

• yizhiwang96/TextLogoLayout

  [CVPR 2022] Aesthetic Text Logo Synthesis via Content-aware Layout Inferring

  Language:Python26771141

• TrainingByPackt/Data-Visualization-with-Python

  Discover how Matplotlib and Seaborn can help clearly communicate and present your newly acquired insight

  Language:Jupyter Notebook10771113

• zhengxxn/adaptive-knn-mt

  Language:Python84189

• bslatkin/pycon2014

  Supporting code for my PyCon 2014 presentation: https://us.pycon.org/2014/schedule/presentation/218/

  Language:Python24302

• ZurichNLP/coverage-contrastive-conditioning

  Data and code accompanying the paper "As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning" (ACL 2022)

  Language:Python22714

• zwhe99/FeedbackMT

  Code of "Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model"

  Language:Python19121

• ibraheem-moosa/mt-ranker

  Code for the ICLR'24 paper: MT-RANKER : Reference-free machine translation evaluation by inter-system ranking

  Language:Python9220

• NicoHerbig/MMPE

  MMPE: Multi-Modal Post-Editing of Machine Translation

  Language:TypeScript8500

• powerpuffpomelo/QE-Reading-List

  Machine Translation Quality Estimation Reading List

  8102

• KangBK0120/PERT

  Pytorch implementation of "A Simple and Strong Baseline: Progressively Region-based Scene Text Removal Networks"

  Language:Python4242

• shuoyangd/stenella

  Code to reproduce results in paper "Levenshtein Training for Word-level Quality Estimation"

  Language:Python3200