Learn how to design, develop, deploy and iterate on production-grade ML applications.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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 ;)

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Intervie…

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

this repository accompanies the book "Grokking Deep Learning"

Overview and tutorial of the LangChain Library

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Book about interpretable machine learning

Python code for common Machine Learning Algorithms

Content for Udacity's Machine Learning curriculum

A complete course for learning Bitcoin programming and usage from the command

NMA Computational Neuroscience course

Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes

Simple and flexible progress bar for Jupyter Notebook and console

Machine learning in Python with scikit-learn MOOC

A university quantum algorithms/computation course supplement based on Qiskit

Companion site for the textbook Quantum Computing: An Applied Approach

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

Tutorials and information on the Julia language for MIT numerical-computation courses.

A python package that includes many methods for decoding neural activity

Letting computers listen to you and really care

Robot Manipulator workshop made from laser cut wood following the MeArm design

Codes accompanying the paper "Quantum algorithm implementations for beginners"

Resources for learning about cybersecurity and CTFs

Reliability diagrams visualize whether a classifier model needs calibration