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Texar: Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. It is listed under Development & Code on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Texar. This is an automatic list. We have not written a researched verdict for Texar yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
Happy Transformer is a Python package that makes it easier to fine tune and run inference with NLP transformer models. It wraps common model families behind a small, consistent interface so developers can try a model or train it on their own data without writing the surrounding boilerplate. The documentation lists the...
Streamlining reinforcement learning with RLOps.
AgileRL builds tools for training specialized AI agents with reinforcement learning. Its main product, Arena, is an enterprise platform that turns a company's raw data and workflows into training environments and LLM datasets, then trains, tunes and deploys a small model that becomes an expert at that specific task ins...
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
AI Engineer HQ is an eight week live AI engineering accelerator run by MasterDexter and taught by Himanshu Ramchandani, an AI architect and Microsoft MVP based in India. Participants write Python and build four deployed AI systems during the cohort, covering retrieval augmented generation, agents built with LangGraph, ...
Image augmentation for computer vision.
AlbumentationsX is a Python library for image augmentation in computer vision and the actively developed library of the Albumentations ecosystem. It builds fast, reproducible augmentation pipelines that transform images together with their masks, bounding boxes, keypoints and 3D data, so training sets can be expanded w...
An open source framework for research in Embodied-AI from AI2.
AllenAct is an open source learning framework for Embodied AI research, built and backed by the Allen Institute for AI (AI2), a non profit research institute. It is designed for training and evaluating agents that perceive and act inside simulated environments, and it decouples tasks from environments so researchers ca...
Images to inference with no labeling (use foundation models to train supervised models).
Autodistill is an open source Python library from Roboflow that uses large, slow foundation models to train small, fast supervised models for computer vision. You feed it unlabeled images, a large base model labels them automatically according to an ontology you define, and the resulting dataset trains a compact target...