An AI-powered tool that analyzes Infrastructure as Code (IaC) and architecture diagrams against AWS Well-Architected best practices to provide prioritized remediation suggestions.

A Python library for modeling multivariate distributions and generating synthetic numerical data using copula functions.

A node-based workflow engine for advanced semantic prompt routing and multi-LLM orchestration, allowing users to create complex, context-aware AI agents.

A Python library for simulating and visualizing a wide variety of one-dimensional and two-dimensional stochastic processes.

An open-source machine learning platform that unifies training, fine-tuning, inference, and evaluation into a single interface for individuals and research labs.

A CLI tool to estimate VRAM usage, benchmark performance, and generate training recipes for fine-tuning LLMs on consumer GPUs using LoRA and QLoRA.

A library for improving LLM performance in Retrieval Augmented Generation (RAG) by creating augmented datasets and fine-tuning models using PEFT.

A native C++/CUDA toolkit for high-performance LLM training and serving, optimized for NVIDIA hardware with support for low-precision formats like NVFP4.

A config-based CLI tool for launching and managing LLM fine-tuning experiments, allowing users to run ablation studies across different models, prompts, and optimization techniques.

A synthetic data generation and evaluation framework that creates high-quality training datasets for agentic LLMs using real tool execution and topic graph mapping.

A comprehensive platform for hosting, deploying, and fine-tuning LLMs using OCI-compliant container images and an OpenAI-compatible API.

A compiler that converts classical ML models and robot URDF descriptions into optimized, standalone C99 binaries for microsecond-latency inference on edge and embedded hardware.

A Pythonic serverless interface that allows ML developers to run and scale workloads on Kubernetes clusters directly from their local environment with near-instant startup times.

A suite of tools for optimizing machine learning models for deployment and execution using techniques like quantization and pruning.

A PyTorch-based unified benchmark for semi-supervised learning, providing implementations of 14 algorithms and 15 tasks across CV, NLP, and Audio classification.

A library of training tools and utilities for PyTorch users to streamline the model training process.

A general-purpose probabilistic programming system in Julia that enables programmable Bayesian inference and gradient-based training of generative models.

An AI datastore for schemas, BLOBs, and predictions that provides tools for human supervision and multi-modal data labeling.

A Python library for building Gaussian process models using TensorFlow and TensorFlow Probability for fast, GPU-accelerated inference.

A deep learning runtime and REST server that provides a unified API for training and inference across images, text, and tabular data.

Lepton AI is NVIDIA’s Python SDK + `lep` CLI for managing DGX Cloud Lepton—deploying model endpoints, batch jobs, dev pods, Ray/Slurm clusters, and more—plus a client for calling endpoints as Python functions and agent skills for natural‑language control.

A high-level library for PyTorch that simplifies neural network training and evaluation through a flexible engine and event-driven system.

A comprehensive, high-performance machine learning framework for the JVM that provides tools for traditional ML, deep learning, LLMs, and an agentic data science IDE.

A TensorFlow 2 library from DeepMind that provides simple, composable abstractions for building neural networks for ML research.

A distributed deep learning training framework that makes it is easy to scale single-GPU training scripts to multiple GPUs and hosts across TensorFlow, PyTorch, Keras, and MXNet.

A messaging and memory layer for coding agents that enables remote machine control, shared context across AI providers, and supervised delivery pipelines.

An AI-powered web crawler that uses natural language prompts to discover relevant pages and extract structured JSON or Markdown data from websites.

A modular TypeScript SDK for Unicity wallet operations, providing secure token transfers, HD wallet management, and decentralized messaging via Nostr.

A platform for structured feedback and evaluations for AI agents, allowing domain experts to review agent responses and turn those reviews into automated tests.

A production-grade TypeScript SDK that provides a unified, local interface for calling over 300 LLMs across multiple providers.

A multi-agent framework that stress-tests conversational AI agents by simulating thousands of realistic edge-case interactions to uncover failure points and optimize performance.

An open-source, self-hosted agentic harness for internal AI teams to build sovereign AI workflows with sandboxed code execution and model independence.

A high-performance, Rust-based embedding pipeline that streamlines the ingestion, chunking, and indexing of multimodal data into vector databases without requiring PyTorch.

A production-grade web scraping engine that provides clean markdown and anti-bot bypass for AI agents and LLMs.

A state-machine engine that turns AI coding into a structured nine-phase engineering pipeline with unified commands across multiple AI tools.

KerasHub is a pretrained modeling library that provides multi-framework implementations of popular AI models for text, image, and audio, supporting JAX, TensorFlow, and PyTorch.

An open, SQL-native time-series database for telemetry that uses Parquet storage to enable high-throughput ingestion and long-term retention of full-resolution history.

An R package for writing and fitting scalable statistical models using MCMC and optimization, powered by TensorFlow.

GeoStats.jl is an extensible Julia framework for geospatial data science and geostatistical modeling, offering tools for geometric processing and data visualization.

A web-based tool for browsing and comparing symbol, type, and syscall information of Microsoft Windows binaries across different OS versions to aid security research.

A compact, schema-capable widget renderer for chat UIs that allows AI agents to generate interactive UI components using a strict template language and a large library of pre-built components.

A tool that streams client-side browser logs to the development terminal or an MCP server, enabling AI coding assistants to see runtime errors and logs.

A browser extension that automatically detects and solves various types of CAPTCHAs in the background using an API key.

A high-performance Python library for graph and hypergraph analysis that provides GPU acceleration and tools for higher-order network learning.

Apache SINGA is a distributed deep learning system that enables the training of large-scale neural networks across multiple machines.

An open protocol for AI Agent work contracts and verifiable execution, ensuring that agent actions are authorized, evidenced, and formally accepted by humans.

A PyTorch implementation of the SASRec model for sequential recommendation, providing a self-attentive approach to predict user item interactions.

A reinforcement learning framework for training AI agents to play Pokemon Red, featuring coordinate-based exploration rewards and live training broadcasts.