TalKachman

mcts

MCTS algorithm tutorial and it's explanation with code. Application of MCTS to create A.I for simple game.

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

teenygrad

If tinygrad wasn't small enough for you...

trl

Train transformer language models with reinforcement learning.

llama.cpp

LLM inference in C/C++

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

penrose

Penrose (and similar) tiling generation using de Bruijn's multigrid method.

ForestDiffusion

Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models

Project_CodeNet

This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

perspective

A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

torchmetrics

Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.

diplomacy_cicero

Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.

powerindex

Calculation of power indices (e.g. Banzhaf power index, Shapley-Shubik power index etc)

scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

CompilerGym

Reinforcement learning environments for compiler and program optimization tasks

causal-curve

A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.

VAEs-in-Economics

colorednoise

Generate dicrete colored (power law) noise

SDE-higham

Some basic algorithms for stochastic differential equations in Python/NumPy

pyblockchain

⛓ Blockchain parser for Python

BlockSci

A high-performance tool for blockchain science and exploration