Pinned Repositories
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
awesome-quant
**的Quant相关资源索引
Barrywang
book_DeepLearning_in_PyTorch_Source
brook
Brook 一键安装脚本
building-machine-learning-pipelines
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
Childish1jin.github.io
coding-interview-university
A complete computer science study plan to become a software engineer.
concourse-pipeline-samples
course-v3
The 3rd edition of course.fast.ai
Childish1jin's Repositories
Childish1jin/awesome-quant
**的Quant相关资源索引
Childish1jin/Barrywang
Childish1jin/building-machine-learning-pipelines
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
Childish1jin/coding-interview-university
A complete computer science study plan to become a software engineer.
Childish1jin/concourse-pipeline-samples
Childish1jin/course-v3
The 3rd edition of course.fast.ai
Childish1jin/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Childish1jin/datascience_book
Childish1jin/Deep-Learning-with-TensorFlow
Deep Learning with TensorFlow by Packt
Childish1jin/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Childish1jin/DL_Study
personal study of 2020 Version of Applications of Deep Neural Networks for TensorFlow and Keras (Washington University in St. Louis) Jeff Heaton
Childish1jin/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Childish1jin/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Childish1jin/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Childish1jin/key-book
《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。在线阅读地址：https://datawhalechina.github.io/key-book/
Childish1jin/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
Childish1jin/Linux-NetSpeed
将Linux现常用的网络加速集成在一起
Childish1jin/Machine-Learning-Notes
周志华《机器学习》手推笔记
Childish1jin/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Childish1jin/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Childish1jin/practical-statistics-for-data-scientists
Code repository for O'Reilly book
Childish1jin/Python
All Algorithms implemented in Python
Childish1jin/python-1
Python Books && Courses
Childish1jin/python_nlp_practice
《Python自然语言处理实战：核心技术与算法（涂铭）》笔记
Childish1jin/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Childish1jin/Reflection_Summary
算法理论基础知识应知应会
Childish1jin/RSSHub
🍰 Everything is RSSible
Childish1jin/stat451-machine-learning-fs20
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
Childish1jin/SYSU_Notebook
本项目分享了本人在中山大学数据科学与计算机学院计算机科学专业的课程资料、笔记、回忆和整理的期末考试卷、及课程作业。希望对你们有所帮助❤️，如果喜欢记得给个star哦🌟
Childish1jin/V2Ray_ws-tls_bash_onekey
V2Ray Nginx+vmess+ws+tls/ http2 over tls 一键安装脚本