i9nis

leela-zero

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

deep_reinforcement_learning_gallery

Deep reinforcement learning with tensorflow2

AlphaNPI

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

assembly-tutorial

Programming in assembly language tutorial

ec

dreamcoder

deepcoder

Deepcoder paper implementation

DeepCoder-Utils

Utilities used in the experiments for the DeepCoder paper (ICLR'17)

NeurosymGenModelsProgSyn

the code for the ICML paper (Learning Neurosymbolic Generative Models via Program Synthesis)

WebQA

Code repository for 'Web Question Answering with Neurosymbolic Program Synthesis'

deap

Distributed Evolutionary Algorithms in Python

karoo_gp

A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.

pony_gp

Small implementation of Genetic Programming for teaching purposes

LGP

A robust Linear Genetic Programming implementation on the JVM using Kotlin.

ai4math-papers

AI for Mathematics (AI4Math) paper list

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

awesome-design-patterns

A curated list of software and architecture related design patterns.

project-based-learning

Curated list of project-based tutorials

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

Free-Certifications

A curated list of free courses & certifications.

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-roadmaps

A curated list of roadmaps.

pykan

Kolmogorov Arnold Networks

benchmarking_interpretability

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

kanrl

Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments

DQN_pytorch

Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch