Popular GitHub Repositories for Beta26

A Collection of Variational Autoencoders (VAE) in PyTorch.

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

Experiments for understanding disentanglement in VAE latent representations

A lightweight C++ machine learning library for embedded electronics and robotics.

Easy generative modeling in PyTorch

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

? ERA Connect by VYNECT™ — The evolution of secure WhatsApp automation ERA Connect is part of the VYNECT™ ecosystem, offering a premium solution for safe, ethical WhatsApp automation and testing using direct WebSocket communication. Automate conversations, simulate interactions, and manage messages with maximum speed, security, and stability

Competitive chess engine written in Rust

Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"

A high-performance, disk-based RDF graph database enabling graph analytics that were deemed computationally infeasible.

A UCI chess engine written in Rust.

CSE 571 Artificial Intelligence

Vesta macOS Distribution - Official releases and downloads.Vesta AI Chat Assistant for macOS - Built with SwiftUI and Apple Intelligence using Apple's on device model on MacOs Tahoe (MacOS 26)

A C++ project in which you can play chess against an AI that uses alpha-beta pruning to predict the optimal move.

Search-based low-intelligence international chess AI with visible UI

Minor Project: The Chess is very well known in domain of Game AI. So is demonstrated using Minimax & Alpha-beta pruning algorithms

Official PyTorch implementation on ID-GAN: High-Fidelity Synthesis with Disentangled Representation by Lee et al., 2020.

Modular IntRalogistics Intelligent plAtforM

This project uses computer vision techniques to detect objects on a chessboard. The data are converted into an 8x8 numpy matrix which is passed to the minimax algorithm to suggest a move.