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Foundry is a blazing fast, portable and modular toolkit for Ethereum application development written in Rust.
3D U-Net model for volumetric semantic segmentation written in pytorch
A simple, maximally extensible, dependency minimized framework for building modern Ethereum dApps
ERC-1404: An easily extendable standard for issuing tokens with transfer restrictions
🏗 forkable Ethereum dev stack focused on fast product iterations
Convolutional Neural Network-Based Instance Segmentation Algorithm to Acquire Quantitative Criteria of Early Mouse Development
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.
A list of Medical imaging datasets.
End-to-End Object Detection with Transformers
Keras library for building (Universal) Transformers, facilitating BERT and GPT models
Code for the paper "Reinforced Active Learning for Image Segmentation"
A library of reinforcement learning components and agents
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Another implementation of topological loss
Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Deep Learning Specialization by Andrew Ng on Coursera.
A collection of loss functions for medical image segmentation
A collection of pre-trained, state-of-the-art models in the ONNX format
Using Convolutional Neural Networks to automatically segment nerves from ultrasound images
Simple and comprehensive tutorials in TensorFlow