Documentation for Weights & Biases (Prompts), covering setup, features, and practical usage.
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Gemini Enterprise Agent Platform (formerly Vertex AI) is a comprehensive platform for developers to build, scale, govern and optimize agents.
Provides an optimized cloud and edge inferencing solution.
TensorZero builds open-source tools for production-grade LLM applications: LLM gateway, observability, optimization, evaluations, and experimentation.
systemprompt.io supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Lets you create apps for your ML projects with deceptively simple Python scripts.
OpenAI-compatible LLM inference server for Apple Silicon using MLX. 2-4x faster than Ollama with tool calling and prompt caching.
Platform and SDK for AI Engineers providing tools for LLM evaluation, observability, and a version-controlled enhanced prompt playground.
Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
Proof-of-concept OpenAI Gym environment for Neural Architecture Search (NAS).
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.
Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.
LLM Ops platform with Analytics, Monitoring, Evaluations and an LLM Optimization Studio powered by DSPy.
Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.
Production-grade SDK for observability, automated evaluations and prompt management with sub-100ms guardrails for LLM/agent workflows.
Helps teams build, deploy, observe or operate machine-learning systems.
An easy-to-use feature store. Optimized for time-series data.
Decision-making tool powered by the latest GPT and in-context learning.
Supports teaching, studying or skills practice with AI-guided learning tools.
A Python-inspired implementation of the Optimum-Path Forest classifier.
A free video series by Andrej Karpathy covering neural networks from scratch — backpropagation, makemore, GPT, and more.
A library of shared system prompts for creating customized educational GPT agents.
It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.