Popular GitHub Repositories for Beta

A Collection of Variational Autoencoders (VAE) in PyTorch.

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

javascript gobang AI，JS五子棋AI，源码+教程，基于Alpha-Beta剪枝算法（不是神经网络）

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

Node.js + JavaScript reference client for the Realtime API (beta)

Experiments for understanding disentanglement in VAE latent representations

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

Easy generative modeling in PyTorch

? LangChain for Swift. Optimized for iOS, macOS, watchOS (part) and visionOS.(beta)

alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)

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

Beta Machine Learning Toolkit

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"

An organizational AI system to build a suite of AI assistants leveraging ontologies as a unifying field that connect data, AI models, workflows, analytics, and external systems. Star and follow to stay updated [Beta]

PyTorch Implementations of a VAE and a beta-VAE.

CSE 571 Artificial Intelligence

A UCI chess engine written in Rust.

[EMNLP 2021] Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge

[NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$