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annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

aoi_rl

Reinforcement learning based scheduling algorithm for optimizing AoI in URLLC networks

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data. (a.k.a. conformal inference)

d2l-en

Dive into Deep Learning: an interactive deep learning book on Jupyter notebooks, using the NumPy interface.

data-science--cheat-sheet

Cheat Sheets

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deeprec

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

dem-ai

Democratized Learning

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

fairml

fedem

Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

fednew

FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning

gan-optimization-landscape

code to reproduce the empirical results in the research paper

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

leaf

Leaf: A Benchmark for Federated Settings

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-diff-private-federated-learning

Simulate a federated setting and run differentially private federated learning.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

nn-zero-to-hero

Neural Networks: Zero to Hero

numerical-tours

Numerical Tours of Signal Processing

ondevai

Federated Learning over Wireless Networks

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 ;)

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

python

All Algorithms implemented in Python

pythonnumericaldemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

pytorch-deep-learning

Deep Learning (with PyTorch)