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ML Pipelines From Another Planet.Build out-of-this-world ML pipelines.
Run-anywhere computational framework for Python that simplifies and accelerates ML workflows and development.
xorq is a deferred computational framework for building, running, and serving pandas groupby-apply style pipelines common in ML workflows. xorq is built on top of Ibis and Apache DataFusion.
JobSet: a k8s native API for distributed ML training and HPC workloads
JobSet is a Kubernetes-native API for managing a group of k8s Jobs as a unit. It aims to offer a unified API for deploying HPC (e.g., MPI) and AI/ML training workloads (PyTorch, Jax, Tensorflow etc.) on Kubernetes.
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A Datacenter Scale Distributed Inference Serving Framework.
NVIDIA Dynamo is a high-throughput low-latency inference framework designed for serving generative AI and reasoning models in multi-node distributed environments. Dynamo is designed to be inference engine agnostic (supports TRT-LLM, vLLM, SGLang or others) and captures LLM-specific capabilities.
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A Friendly Federated AI Framework.
A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language.
Free & Open-Source AI Voice Generator.
A powerful, browser-based AI voice generator that lets you create natural-sounding voices without installing anything.
Use it directly in your browser or self-host it for your own applications with OpenAI API compatibility!
WAGMIOS is a self-hosted container management system with AI-powered automation.
It enables you to efficiently manage your containers with W.I.L.L.O.W, an AI assistant that optimizes your workflow.
Evolving agents is a production-grade environment for orchestrating, evolving, and managing AI agents.
A production-grade framework for creating, managing, and evolving AI agents with intelligent agent-to-agent communication. The framework enables you to build collaborative agent ecosystems that can semantically understand requirements, evolve based on past experiences, and communicate effectively to solve complex tasks.
The Platform for Building Stateful Agents.
Build agents with infinite context and human-like memory, that can learn from data and improve with experience.
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
Letta is an open source framework for building stateful LLM applications. You can use Letta to build stateful agents with advanced reasoning capabilities and transparent long-term memory. The Letta framework is white box and model-agnostic.
Finding the Scaling Laws of Agents. The first and the best multi-agent framework.
CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.
The framework enables multi-agent systems to continuously evolve by generating data and interacting with environments. This evolution can be driven by reinforcement learning with verifiable rewards or supervised learning.
superglue is an open-source server that sits as a layer between complex APIs and your application. With superglue, you always get the data that you want in the format that you expect. Fetch data from JSON and XML APIs, as well as CSV and Excel files in seconds.
The Open-Source LLM Evaluation Framework.
DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that runs locally on your machine for evaluation.
The TypeScript framework for agents & workflows with react-like components. Lightning fast dev loop. Easy to learn. Easy to extend.
Build complex AI applications with React-like components.
GenSX is a simple typescript framework for building agents and workflows with reusable React-like components.
GenSX takes a lot of inspiration from React, but the programming model is very different - it’s a Node.js framework designed for data flow.
Zonos-v0.1 is a leading open-weight text-to-speech model trained on more than 200k hours of varied multilingual speech, delivering expressiveness and quality on par with—or even surpassing—top TTS providers.
Our model enables highly natural speech generation from text prompts when given a speaker embedding or audio prefix, and can accurately perform speech cloning when given a reference clip spanning just a few seconds. The conditioning setup also allows for fine control over speaking rate, pitch variation, audio quality, and emotions such as happiness, fear, sadness, and anger. The model outputs speech natively at 44kHz.
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BirdNET-Analyzer is an open source tool for analyzing bird calls using machine learning models. It can process large amounts of audio recordings and identify (bird) species based on their calls.
The fast, Open Source and easy-to-use solver.
Solve planning and scheduling problems with OptaPlanner.
A fast, easy-to-use, open source AI constraint solver for software developers
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build ml models in natural language and minimal code.
Create machine learning models with minimal code by describing what you want them to do in plain words. You explain the task, and the library builds a model for you, including data generation, feature engineering, training, and packaging.
Trending Open AI Models.
For better or for worse, LLMs are here to stay. We all read content that they produce online, most of us interact with LLM chatbots, and many of us use them to produce content of our own.
In a series of five- to ten-minute lessons, we will explain what these machines are, how they work, and how to thrive in a world where they are everywhere.
You will learn when these systems can save you a lot of time and effort. You will learn when they are likely to steer you wrong. And you will discover how to see through the hype to tell the difference. ?
AI by Hand 
Exercises in Excel