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FastAPI framework, high performance, easy to learn, fast to code, ready for production
Models and examples built with TensorFlow
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
SQL databases in Python, designed for simplicity, compatibility, and robustness.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Simple, online, and realtime tracking of multiple objects in a video sequence.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
An open source library and framework for deep learning on satellite and aerial imagery.
Turn Python scripts into handouts with Markdown and figures
TensorFlow template application for deep learning
A library for easy and efficient manipulation of tensor networks.
Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.
Mesh TensorFlow: Model Parallelism Made Easier
Distributed Deep learning with Keras & Spark
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Bottom-up Object Detection by Grouping Extreme and Center Points
Semi-Supervised Learning, Object Detection, ICCV2021