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annotated_deep_learning_paper_implementations

🧑‍🏫 59 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, ... 🧠

autograd

Efficiently computes derivatives of numpy code.

ckchmod.github.io

coupledboolnet-git

deeprc

DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning

fdm-book

Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hockey-scraper

Python Package for scraping NHL data off of their Website and API

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

minigo

An open-source implementation of the AlphaGoZero algorithm

mlcrate

A python module of handy tools and functions, mainly for ML and Kaggle

multicell_boolean_networks

nhlapi

Documenting the publicly accessible portions of the NHL API

prml

PRML algorithms implemented in Python

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

rbn-matlab

Random Boolean Networks

rbn-research-chris

rds-scripts

rosalind-solutions

my solutions to problems from Rosalind.

sindyautoencoders

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

sympy

A computer algebra system written in pure Python

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

theory_associative_memory

repo for code for paper on general theory associative memory models