📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
- applied-machine-learning
- production
- applied-data-science
- machine-learning
Repository Index
56,638 visible repositories in the index
49–72 of 555 · Most stars
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A playbook for systematically maximizing the performance of deep learning models.
:memo: An awesome Data Science repository to learn and apply for real world problems.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
A simple guide to HTML <head> elements
- html5
- head
- meta-tags
- reference
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
- hacking
- penetration-testing
- hacking-series
- cybersecurity
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
- artificial-intelligence
- cloud-ml
- computer-systems
- courseware
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
If you want to become good at AI engineering & system design, join this newsletter 👇
- computer-science
- interview-questions
- software-engineering
- system-design
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.
A complete daily plan for studying to become a machine learning engineer.
- machine-learning
- deep-learning
- artificial-intelligence
- software-engineer
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 ;)
- bayesian-methods
- pymc
- mathematical-analysis
- jupyter-notebook
🧠 Laws, Theories, Principles and Patterns for developers and technologists.
- principles
- laws
- coding
- computerscience
TranslatedI am Yiyang (木易杨, Muyiyang), author of the official account "高级前端进阶" (Advanced Frontend Progression). I tackle one frontend interview question from a big tech company every day. I wish everyone progress every day, and in a year you will see a different self.
The Open Source Data Science Masters
TranslatedList of personally collected books PDF download Baidu Cloud e-book download
The fastai book, published as Jupyter Notebooks
- notebooks
- fastai
- deep-learning
- machine-learning
TranslatedThis project aims to share the technical principles of large models and practical experience (large model engineering, large model application deployment).
- llm
- llm-inference
- llm-serving
- llm-training
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
- python
- machine-learning
- data-science
- nlp
Video discussing this curriculum:
🔒 A compiled checklist of 300+ tips for protecting digital security and privacy in 2026
- privacy
- security
- censorship
- cybersecurity
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
- algorithms
- data-structures
- datastructures
- c