plugyawn

awesome

😎 Awesome lists about all kinds of interesting topics

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

motion-canvas

Visualize Your Ideas With Code

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

PokemonRedExperiments

Playing Pokemon Red with Reinforcement Learning

courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

ManimML

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

minitorch

The full minitorch student suite.

my-qr.art

Design custom QR codes with this web app!

Unity-Collider-Optimizer

Optimizes mesh and polygon colliders in Unity

Manim.js

Replicating 3Blue1Brown's math animation engine in JavaScript (p5.js)

pykernels

Python library for working with kernel methods in machine learning

Probabilistic_ML

Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023

notebooks-latest

Default set of Data Lab notebooks, by DL team and contributed by users

Gumbi

Gaussian Process Model Building Interface

gp-zoo

A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably including Stochastic Variational Gaussian Processes.

online-gnn-learning

bijax

Bayesian Inference in JAX

TOC-Problem-Sets

Solution of the problem sets of the course COL352- Introduction to Automata and Theory of Computation offered in Second (Holi) Semester 2021-22.

CS499-SDFNet

skgpytorch

GPyTorch models in Scikit-learn flavor

coinframe

Library for analysing, backtesting, and presenting cryptocurrency portfolios reliably, and with very little code.

Neural-Network-Visualizer-for-Pytorch

A simple in-training visualization tool for neural networks built on pytorch models

maths-ml

gp_practical_tips

macOS-OpenGL

Template repository for working on openGL with macOS.

gossip

Gossip is a beautiful tree-walk interpreter (that now also supports bytecode!) that allows for beautiful visualizations for abstract syntax trees, and is built to support beginners starting a course on Compiler Design.

wimpyML

Python library with wimpy implementations of common ML algorithms that I wrote in the process of learning them.

Narrative-Engine

A 3D game engine meant for story tellers