The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Code samples used on cloud.google.com

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

Visualizations for machine learning datasets

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Probabilistic reasoning and statistical analysis in TensorFlow

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

Bayesian optimization in PyTorch

Dask tutorial

Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes

Demo of running NNs across different frameworks

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

TensorFlow Implementation of "Show, Attend and Tell"

Poppy Humanoid is an open-source and 3D printed humanoid robot. Optimized for research and education purposes, its modularity allows for a wide range of applications and experimentations.

Keras version of Realtime Multi-Person Pose Estimation project

Pytorch easy-to-follow Capsule Network tutorial

Models and examples built with Swift for TensorFlow

Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

PyTorch implementation of the CortexNet predictive model

An interactive exploration of Transformer programming.

A {K}otlin g{ra}mmar for data {vis}ualization

Jupyter notebooks for tutorial on the Z3 SMT solver

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation …

A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"