ChessArena provides machine-learning models, research, training resources, or evaluation tools.
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Open-source Python library for data-centric AI that helps clean data and labels by automatically detecting issues in machine learning datasets. It uses existing models to estimate dataset problems that can be fixed to train better models. It runs on Python 3.10+ and works with any model across classification, regression, segmentation and object detection tasks.
A lightweight tool designed to run frontier mixture of experts (MoE) models on existing user-owned hardware. It is built with pure C programming language, has zero external dependencies, and streams model experts directly from disk, described as a tiny engine capable of running immense models.
Comfy is a visual AI creation engine built around ComfyUI, a node-based canvas for connecting models, processing steps and outputs. A Comfy Agent can plan, build and run workflows from a description. Workflows can be deployed as a production API, and Comfy Cloud offers pre-loaded models and pre-installed custom nodes. Desktop and enterprise options are also presented.
Context Arena provides machine-learning models, research, training resources, or evaluation tools.
DaFreeAi is a platform for creating images and videos with a choice of AI models, listing over 70 models. It offers a Free Plan and paid membership tiers with monthly credit allowances and parallel generations. Payment and account notices appear on its plans page alongside credit package options.
DeepSeek-R1 is the first-generation reasoning model family from DeepSeek, including DeepSeek-R1-Zero and DeepSeek-R1. The repository describes training via large-scale reinforcement learning and cold-start data, and open-sources the models plus six distilled dense models based on Llama and Qwen.
This DeepSeek API documentation page lists models and per-token pricing. It describes the deepseek-flash and deepseek-v4-pro models, their features, context length, concurrency limits, and peak and off-peak token rates, and notes that the legacy names deepseek-v4-flash and deepseek-v4-flash-vision-exp are still accepted.
Detecto is a Python package for building computer vision and object detection models with PyTorch. It supports inference on still images and videos, transfer learning on custom datasets, and serialization of models to files, and is distributed under an MIT license.
Direct is a chat tool for interacting with multiple frontier AI models. It allows prompting several open source and proprietary large language models in one place, for research, coding, and creative tasks.
Eden AI offers a unified API for accessing large language models and specialist AI models, including OCR, speech, translation and vision. It standardizes requests, responses, authentication, billing and monitoring across providers, and supports routing requests by cost, performance and region.
Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for experimentation and research with probabilistic models, from hierarchical models on small data sets to deep probabilistic models on large data sets. It fuses Bayesian statistics and machine learning, deep learning, and probabilistic programming, and is built on TensorFlow.
FastEdit is a repository intended to help developers inject fresh and customized knowledge into large language models using one command. It supports models including GPT-J, LLaMA, LLaMA-2, BLOOM, Falcon, Baichuan, and InternLM. The implemented algorithm is Rank-One Model Editing (ROME). It requires Python 3.8+ and PyTorch 1.13.1+.
Fcoijmefliggikpeofhojmkpoooocifk provides machine-learning models, research, training resources, or evaluation tools.
FlexML is an AutoML library for Python that assists in building machine learning models by automating model selection and hyperparameter tuning. It supports regression and classification tasks and offers quick and wide experiment modes for choosing how many models to train.
Forefront is described as a platform to fine-tune and inference open-source language models. The site mentions building with open-source AI, fine-tuning models on data, and running inference through serverless API endpoints. It also describes storing training, validation and evaluation data in ready-to-fine-tune datasets. Pricing lists a free tier and a team plan at $99 per month, each including $20 in free credits.
Gensim is a free open-source Python library for topic modelling and semantic NLP. It trains large-scale semantic models, represents text as semantic vectors and finds semantically related documents. The site describes streaming of arbitrarily large corpora, platform independence, and pretrained models and corpora published by the community.
go-ml-benchmarks is a repository of machine learning inference benchmarks for Go, focused on tabular models such as XGBoost. It compares typical implementations using different transports, encodings, preprocessing libraries and models, using the Titanic dataset. The repository was archived by the owner and is now read-only.
GPT-NeoX is EleutherAI's library for training large-scale language models on GPUs. It builds on NVIDIA's Megatron and adds DeepSpeed techniques plus optimizations. It supports launching via Slurm, MPI and the IBM Job Step Manager, and offers predefined configurations for architectures including Pythia, PaLM, Falcon and LLaMA 1 & 2. The repository states it is likely the wrong library for those not training models with billions of parameters from scratch.
The official GPT4Free repository, a collection of various powerful language models hosted on GitHub. The repository includes access to models such as opus 4.6, gpt 5.3, kimi 2.5, deepseek v3.2, and gemini 3, and accepts community contributions.
Turi Create is a toolkit that simplifies the development of custom machine learning models, offered as an archived repository. It supports tasks such as recommendations, object detection, image classification, image similarity and activity classification, and can export models to Core ML. The repository was archived by its owner on December 21, 2023, and is now read-only.
Indic LLM Arena provides machine-learning models, research, training resources, or evaluation tools.
InterpretML is an open-source package that collects machine learning interpretability techniques. It allows training interpretable glassbox models and explaining blackbox systems, to understand a model's global behavior or the reasons behind individual predictions. It includes the Explainable Boosting Machine, developed at Microsoft Research, plus other glassbox models and blackbox explainers.
IOPaint is a free, open-source and fully self-hostable image inpainting and outpainting tool powered by AI models. It can erase unwanted objects, add or replace elements in images, generate text, and generate new pixels around images to enlarge them, with various models available for different tasks.