该仓库主要记录 NLP 算法工程师相关的面试题
- bert
- transformer
- nlp
- ner
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该仓库主要记录 NLP 算法工程师相关的面试题
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Learn to create a desktop app with Python and Qt
This project is waiting for your contribution. If you have never contributed code on GitHub before, this is the project to get you started.
Curso para aprender a trabajar con Bash (Bourne-again shell), línea de comandos, terminal y scripting desde cero utilizando Warp (la terminal y entorno de desarrollo con IA).
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
😜 记录日常的开发技巧,开发中遇到的技术重点、难点,各个知识点的总结,优质面试题等等。持续更新...
A guide to get either Yuzu or Ryujinx running on your PC. Includes links for games, keys, firmware, shaders and some other stuff. Made for 128BitBay.
Season 2 on Lama Dev
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
Notes (and partial transcription) of Dan Abramov's Redux course videos on http://egghead.io
动手学Ollama,CPU玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/
Transform Dribbble designs to React-Native code | Shop UI Kit >>
Android 进阶
Roadmap and Resource Compilation for System Design Fight Club
A curated list for awesome cloud native tools, software and tutorials.
ACM-ICPC Preparation Guide
Examples from the book Design Patterns in Ruby by Russ Olsen. # ruby 2.2.0
React Native Advanced Guide Book (iOS & Android) - Be an Expert in 2024 🔥
Companion Repo for The Complete React Native and Redux Course
Modern React with Redux
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《Node.js区块链开发》,注:新版代码已开源!请star支持哦-^-:
Simplified implementations of deep learning related works