The Benchmark of Linguistic Minimal Pairs

The evaluation pipeline for the 2024 BabyLM Challenge.

Datasets used to train Generative Query Networks (GQNs) in the ‘Neural Scene Representation and Rendering’ paper.

Board game AI implementations using Monte Carlo Tree Search

Python wrappers for Pachi. Contains a modified version of the bleeding-edge Pachi source code.

PlayGround: AI Research into Multi-Agent Learning.

A demonstration of some solutions to the multi-armed bandit problem.

A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow

Create PDF documents using web technologies

Table of Contents extension for JupyterLab

Image augmentation library in Python for machine learning.

A WebGL accelerated JavaScript library for training and deploying ML models.

Examples built with TensorFlow.js

Python package for reading Adobe Photoshop PSD files

Style transfer, deep learning, feature transform

Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"

JupyterLab extension for live editing of LaTeX documents

GitHub integration for JupyterLab

Implementation of the Jupyter kernel protocol in C++

A clean TensorFlow implementation of Concrete Dropout

Minimal implementation of a radial basis function network.

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 filte…

An open-source implementation of the AlphaGoZero algorithm

A game theoretic approach to explain the output of any machine learning model.

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

A Real-time Mario Kart 64 AI using ConvNets.

Optimal Reciprocal Collision Avoidance (C#)

Python Implementation of Reciprocal Velocity Obstacle for Multi-agent Systems

Runs your tasks at maximum concurrency

Image augmentation for machine learning experiments.