eeeclipse

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

infisical

♾ Infisical is the open-source secret management platform: Sync secrets across your team/infrastructure, prevent secret leaks, and manage internal PKI

novops

Cross-platform secret & config manager for development and CI environments

starter-workflows

Accelerating new GitHub Actions workflows

nerd-fonts

Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more

fumen

Music sheet rendering engine specialized for Chord and Rhythm chart !

keep-in-touch-fe

lolcat

Rainbows and unicorns!

motd

Collection of 'message of the day' scripts

KAN4Rec

Implementation of Kolmogorov-Arnold Network (KAN) for Recommendations

great_expectations

Always know what to expect from your data.

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

ml-engineering

Machine Learning Engineering Open Book

pyspark-examples

Pyspark RDD, DataFrame and Dataset Examples in Python language

jdk

JDK main-line development https://openjdk.org/projects/jdk

rust-course

“连续八年成为全世界最受喜爱的语言，无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。本书拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容，这可能是目前最用心的 Rust 中文学习教程 / Book

wtfjs

🤪 A list of funny and tricky JavaScript examples

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

python-guide

Python best practices guidebook, written for humans.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.