Projects sharing features with Btgym

nlp.js is a JavaScript natural language processing library and development framework used to build natural language understanding engines. It provides a toolkit for creating local machine learning models for intent classification and acts as a multilingual text processor that detects languages and normalizes text across various dialects. The framework distinguishes itself by supporting local execution on both servers and mobile devices, enabling chatbot functionality without an internet connection. It features a specialized system for conversational slot filling to collect mandatory informati

A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT

A TypeScript implementation of a Model Context Protocol (MCP) server that integrates with PiAPI's API. PiAPI makes user able to generate media content with Midjourney/Flux/Kling/LumaLabs/Udio/Chrip/Trellis directly from Claude or any other MCP-compatible apps.

This package contains implementations of various RL algorithms for continuous control tasks simulated with MuJoCo.

Bringing Magic To Your Mobile App With Deep Learning - Teaching Your App To Detect Traffic Lights From 18,000 Images Is The First Step In Building Your Own Self Driving Car

A lightweight C library for artificial neural networks

OpenSandbox is a secure sandbox runtime and containerized code execution engine designed to run AI-generated code and scripts in isolated environments. It serves as a workload orchestrator that prevents host system contamination by utilizing kernel-level isolation to execute arbitrary commands and scripts. The project distinguishes itself by providing a model context server that bridges large language models to the sandbox for performing file operations and system commands. It also includes a remote GUI sandbox that supports browser automation and desktop interfaces via remote access protocol

Backtrader is a Python backtesting framework and algorithmic trading platform. It provides a toolkit for developing automated trading rules and simulating investment strategies using historical financial time-series data. The system functions as a quantitative analysis tool, combining a simulation engine for testing trading rules with a financial data visualizer that generates price action charts. It allows for the calculation of technical indicators and the evaluation of portfolio performance through risk-adjusted returns. The platform covers live trading integration via brokerage APIs and

warp-ctc is a high-performance library for calculating connectionist temporal classification loss to train sequence-to-sequence deep learning models. It provides a numerical stability layer using log-space computation to prevent underflow and precision errors during probability calculations for long sequences. The library utilizes hardware-accelerated kernels to compute loss in parallel across CPU and GPU architectures. It focuses on increasing training throughput by optimizing the dynamic programming steps of the CTC algorithm. These capabilities support the training of models for speech re

Machine Learning over historical baseball data using latest Microsoft AI & Development technology stack (.Net Core & Blazor)

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

PyBullet Gymperium

LiteLLM is a unified gateway and proxy server designed to centralize access to over one hundred language model providers. It provides a standardized API interface that abstracts vendor-specific schemas, allowing developers to interact with diverse models through a single, consistent format. By acting as a central traffic management layer, it enables organizations to route, secure, and govern model interactions across multiple deployments. The platform distinguishes itself through its policy-driven architecture, which uses configuration-based routing to manage traffic distribution, load balanc

Python API for the Interactive Brokers on-line trading system.

2. Apply sample/measurement 3. Query model for inference of non-directly observed variables 4. Query model for decisions based on maximum payoff/lowes loss

Design-Bench is a benchmarking framework for solving automatic design problems that involve choosing an input that maximizes a black-box function. This type of optimization is used across scientific and engineering disciplines in ways such as designing proteins and DNA sequences with particular…

Budibase is a low-code application platform and enterprise internal tool builder used to create custom business applications for organizational processes and reporting. It functions as a self-hosted backend as a service, providing the infrastructure to manage database integrations and expose public data interfaces for external application access. The platform includes an AI agent orchestrator for deploying autonomous agents that interact with business data and execute operational tasks. It differentiates itself through self-hosted infrastructure management, allowing the system to run on priva

A universal RPC layer for AI agents. Connect to any function, any language, any framework, in minutes.