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AI
33 repositories
Algorithms practice
9 repositories
Arduino and Raspberry Pi
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Artistic
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Bioinformatics
9 repositories
Books for ML and Biophysics
1 repository
C Projects
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Comp Vis & OpenCV projects
2 repositories
CS 50
1 repository
CS Resources
Free CS resources25 repositories
Cybersecurity
8 repositories
Data Science
35 repositories
Digital Art
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Drug discovery
5 repositories
Important Mac packages
1 repository
✨ Inspiration
19 repositories
Interactive Games
4 repositories
Interesting softwares
35 repositories
Interviews
11 repositories
Maths and Stats
9 repositories
ML
46 repositories
Music Softwares
15 repositories
Programming Languages
22 repositories
Protein visualizers
5 repositories
Python Projects
46 repositories
Python related pages
14 repositories
Quantum Chem and Phys
1 repository
Research Comp Chem/Bio/Phys
40 repositories
Robotics
10 repositories
Rust
1 repository
Stat Mech and Phys
2 repositories
Web Dev
6 repositories
Starred repositories
113
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Examples and guides for using the OpenAI API
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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.
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 ;)
Neural Networks: Zero to Hero
A collection of various deep learning architectures, models, and tips
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Practice your pandas skills!
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Understanding Deep Learning - Simon J.D. Prince
Notebooks and code for the book "Introduction to Machine Learning with Python"
Toturials coming with the "data science roadmap" picture.
The "Python Machine Learning (2nd edition)" book code repository and info resource
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
"Probabilistic Machine Learning" - a book series by Kevin Murphy
The "Python Machine Learning (3rd edition)" book code repository
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Text and supporting code for Think Stats, 2nd Edition
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"