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DeepFake Detect: Open-source deepfake detection: train your own model with TensorFlow, Keras & EfficientNet. 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 DeepFake Detect. This is an automatic list. We have not written a researched verdict for DeepFake Detect 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.
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...
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
CALVIN (Composing Actions from Language and Vision) is an open source simulated benchmark from the University of Freiburg for training and evaluating robots that follow natural language instructions over long sequences of manipulation tasks. Agents must solve many tabletop manipulation tasks using only onboard sensors,...
A toolkit for making real world machine learning and data analysis applications in C++
Dlib is a modern C++ toolkit of machine learning algorithms and supporting tools for building complex software that solves real world problems. It is a mature, general purpose library rather than a hosted service: developers compile it into their own applications and get classical machine learning, deep learning, compu...
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 ...