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Deepinv: DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning. 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 Deepinv. This is an automatic list. We have not written a researched verdict for Deepinv 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.
FASHN VTON v1.5: Efficient Maskless Virtual Try-On in Pixel Space
FASHN VTON v1.5 is an open weights virtual try on model from FASHN AI. Given an image of a person and an image of a garment, it generates a photorealistic result showing the garment worn, working directly on RGB pixels rather than in a compressed latent space and without requiring a segmentation mask of the body. Both ...
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...