Directory
Published directory entries matching your search.
Viggle is a Spatial GenAI platform built on a physics-native world model. Its tools cover motion capture, character animation and video remix, and its API lets products add character swapping and motion capture. The JST-2 model generates characters, motion and 3D scenes from one architecture.
Toolbaz offers free AI tools for writing, image and audio generation, powered by models including GPT-5, Claude, Gemini and Meta-AI. The site lists writer tools such as article and content writer, story and book writer, and rewriting and editing tools.
A guide to MLOps is an open-source tutorial from the Swiss AI Center team that walks engineers and small teams from notebook experiments to production. It covers local training and model evaluation, moving the model to the cloud, serving and deploying, monitoring and maintaining, and labeling data and retraining, using tools such as DVC, Git, GitHub Actions, CML, Docker, BentoML, Fluent Bit, Evidently AI, and Label Studio.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
CadNav is an online library of free 3D models, CAD models, textures and V-ray materials for CGI graphic designers and 3D artists. It also publishes articles on 3D software, game engines and tutorials for tools such as 3ds Max, V-Ray and SketchUp.
DagsHub is an AI platform for managing the machine learning lifecycle, covering dataset curation and annotation, experiment tracking, and model management. It supports unstructured and multimodal data such as text, images, audio, video, and documents. The platform is built on open source tools and formats. DagsHub states it does not currently provide compute resources and relies on the user's own infrastructure.
Direct is a service that enables users to interact directly with leading frontier image generation AI models. It allows users to compare outputs across models, test prompts, and explore capable systems in a single interface. The service states that inputs are processed by third-party AI and responses may be inaccurate.
Google tool for building, testing, and experimenting with Gemini prompts, models, and API workflows.
llama.cpp is a C/C++ implementation for large language model and vision language model inference with minimal setup across a range of hardware, locally and in the cloud. It is built on the ggml library and offers command-line and server tools, an OpenAI-compatible API server, and multiple hardware backends.
MakeHuman Community centers on the MakeHuman core assets, such as the Basemesh, and the tools that operate on them. MakeHuman is a stand-alone GUI program for modeling 3d humans, while MPFB is a Blender add-on for modeling 3d humans. The site notes that community services were shut down as a precaution, while the static site remains online.
manifest.build is an open source LLM router for AI agents and related tools. It connects AI agents and harnesses to any provider in seconds, supporting subscription, pay-per-token, local model and custom provider options. The tool offers features including model fallbacks, full request logging, autofix for broken provider calls, an LLM gateway for centralized provider management, and observability tools for tracking usage, reliability and costs. The software is open source, allowing users to self-host it or contribute to its development.
A guide explaining MLOps concepts and how to build an MLOps environment. It covers theory and a tutorial using tools such as DVC, CML, IBM Watson Machine Learning, IBM Watson OpenScale, Terraform and Cookiecutter. The guide is described as modular, allowing tools to be swapped according to project preferences and use cases.
PocketPal AI is an open-source app for running language models directly on a device, available on iOS and Android. It supports GGUF models from Hugging Face, on-device processing, device benchmarking, conversation history and adjustable inference settings.
WakaTime is a coding analytics tool that automatically tracks coding time and AI usage across editors and tools. It reports time by project and language, AI-generated code, per-model breakdowns, token and prompt metrics, and estimated model costs. It offers a REST API for data access, and its plugins are open source.
Google Speech Gen helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
ACE-Step 1.5 is an open-source local music generation model released by the ace-step project under an MIT license. The repository states it supports Mac, AMD, Intel and CUDA devices, and describes a hybrid architecture combining a language model planner with a diffusion transformer on consumer hardware.
Alpaca is an Ollama client for managing and chatting with multiple models locally, described as an easy and beginner-friendly way of interacting with local AI; online providers are also available. It offers image recognition, custom models and file analysis, stores conversations locally and is licensed under GPL-3.0.
Alpaca 7B is a model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations. In a preliminary evaluation of single-turn instruction following, it behaved qualitatively similarly to OpenAI's text-davinci-003 while being small and cheap to reproduce.
automl-gs is a Python 3 AutoML module that takes an input CSV and a target field and generates a trained machine learning or deep learning model plus native Python code pipelines. It provides a zero code/model definition interface and performs random hyperparameter searches, reporting metrics for each trial in a CSV.
Backprop is a Python library, installable via PyPi, that enables use, finetuning and deployment of machine learning models. It provides task interfaces for conversational question answering, text classification in over 100 languages, image classification, summarisation, emotion detection and text generation, and models can be finetuned with a single line of code.
BayesPy is an open-source Python library that provides tools for performing Bayesian inference. It is hosted as a public repository on GitHub where users can access the code and contribute to its development.
Bloom is a large language model documented within the Hugging Face Transformers library. The official documentation provides implementation resources, configuration classes, model classes, and guidance for integrating BLOOM into artificial intelligence and machine learning workflows, as part of Hugging Face's open-source and open science initiative to advance and democratize AI.
The caret package provides a set of functions in R intended to streamline creating predictive models. Its tools cover data splitting, pre-processing, feature selection, model tuning using resampling and variable importance estimation, and it offers a uniform interface and standardized common tasks.
An open-source project that provides tools to debug, evaluate, and monitor large language model (LLM) applications, retrieval-augmented generation (RAG) systems, and agentic workflows, with features including comprehensive tracing, automated evaluations, and production-ready dashboards.
