Deepfakes Software For All
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Deepfakes Software For All
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Label Studio is a multi-type data labeling and annotation tool with standardized output format
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Toolkit for linearizing PDFs for LLM datasets/training
Datasets, Transforms and Models specific to Computer Vision
Lets make video diffusion practical!
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
FinRL®: Financial Reinforcement Learning. 🔥
The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
pix2code: Generating Code from a Graphical User Interface Screenshot
Refine high-quality datasets and visual AI models
Open source annotation tool for machine learning practitioners.
Image-to-image translation with conditional adversarial nets
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Build Graph Nets in Tensorflow
Lightning ⚡️ fast forecasting with statistical and econometric models.
A small speech recognizer
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]