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ossinsight

Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 7 billion with natural language (powered by OpenAI). Follow us on Twitter: https://twitter.com/ossinsight

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go-design-book

《Go 语言设计哲学》

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qwerty-learner

为键盘工作者设计的单词记忆与英语肌肉记忆锻炼软件 / Words learning and English muscle memory training software designed for keyboard workers

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joyful-pandas

pandas中文教程

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blog

:dart: 钝悟的博客

Language:ShellCC-BY-SA-4.085700

hello-algorithm

🌍 针对小白的算法训练 | 包括四部分：①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）推荐免费ChatGPT使用网站

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6.S081-All-in-one

6.S081课程全记录，包括课程使用的书籍、论文、实验要求的中文翻译，以及实验过程记录

MIT113400

AliSQL

AliSQL is a MySQL branch originated from Alibaba Group. Fetch document from Release Notes at bottom.

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TeachYourselfCS-CN

TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS

CC-BY-SA-4.01969400

cs-self-learning

计算机自学指南

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ctf-wiki

Come and join us, we need you!

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missing-semester-cn.github.io

the CS missing semester Chinese version

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TransGPT

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ALL-about-RSS

A list of RSS related stuff: tools, services, communities and tutorials, etc.

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HERO_Video_Feature_Extractor

Video Feature Extraction Code for EMNLP 2020 paper "HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training"

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BMT

Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)

Language:Jupyter NotebookMIT22400

video_features

Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

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recurrent-transformer

[ACL 2020] PyTorch code for MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

Language:Jupyter NotebookMIT16600

YuLan-Rec

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dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Language:Jupyter NotebookApache-2.01052000

ml-road

Machine Learning Resources, Practice and Research

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handson-ml2

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.

Language:Jupyter NotebookApache-2.02779800