.dotfiles

adventure-of-scala

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

algo

数据结构和算法必知必会的50个代码实现

amazon-s3-resumable-upload

Amazon S3 MultiThread Resume Migration Solution (Amazon S3多线程断点续传迁移方案)

ambition1994

ambition1994.github.io

apple-store-helper

Apple Store iPhone预约助手

applestore-helper

Apple 商店助手

aria2.conf

Aria2 配置文件 | OneDrive & Google Drvive 离线下载 | 百度网盘转存

awesome-mac

 Now we have become very big, Different from the original idea. Collect premium software in various categories.

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

bleunlock

Lock/unlock your Mac with your iPhone, Apple Watch, or any other Bluetooth LE devices

category_encoders

A library of sklearn compatible categorical variable encoders

configuration

cpp-primer-5th-exercises

Solutions to Exercises in C++ Primer 5th Edition

cs224n_notes

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

data-science-notes

数据科学的笔记以及资料搜集

eas-python-sdk

easyrec

A framework for large scale recommendation algorithms.

eat-tensorfow2-ex

featuregenerator

generative_ai_with_langchain

Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.

geohot-terminal

Terminal like Geohot aka George Hotz. UPDATED VERSION LIKE IN STREAM

go-rest-api-example

An example REST API microservice in golang

gorse

An open source recommender system service written in Go

h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

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.