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Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
code for mixconvnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more
Pre-trained Models of DMLC Project
Analysis of 2019-nCov coronavirus data
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
Experiments with Neural ODEs and Adversarial Attacks
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Efficient Image Captioning code in Torch, runs on GPU
One-shot Learning with Memory-Augmented Neural Networks
OsiriX DICOM Viewer
multi-task based nueral network models for survival analysis; Cox-Net
Pythonic bindings for FFmpeg's libraries.
PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers
3D U-Net model for volumetric semantic segmentation written in pytorch
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Pytorch implementation for LapSRN (CVPR2017)
PyTorch implementation of UNet++ (Nested U-Net).
RetinaNet in PyTorch
PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)
A modern PyTorch implementation of SRGAN
Cornerstone medical image viewport component for React
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
PyTorch Implementation for ResNet, Pre-Activation ResNet, ResNeXt, DenseNet, and Group Normalisation
RNN(recurrent neural network) and algorithms
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.