achaiah Goto Github PK
Type: User
Bio: Researching applications of AI to everyday life
Type: User
Bio: Researching applications of AI to everyday life
The webssh docker image build file
Web interface for browsing, search and filtering recent arxiv submissions
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet)
Bayesian Optimization with Neural Architectures for Neural Architecture Search - https://arxiv.org/abs/1910.11858
Implementation of several state of the art methods for Binary Segmentation in PyTorch
Tool-box for efficient build and debug in Python. Especially for Scientific Computing and Computer Vision.
Right Ventricle Cardiac MRI Segmentation
Essential Cheat Sheets for deep learning and machine learning researchers
ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution
In this repo you can find my solutions for both 2016 and 2017 assignments of the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
PyTorch implementations of deep reinforcement learning algorithms and environments
Text recognition (optical character recognition) with deep learning methods.
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Deep Learning GPU Training System
forked openssh-server with added rsync
Docker image to run RabbitMQ with the STOMP plugin enabled
Docker container with ssh and rdiff-backup to use as a backup solution
Dilated Residual Networks
Java encryption library that produces self-decrypting jar files
etherpad with sqlite preinstalled
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
:fire: 2D and 3D Face alignment library build using pytorch
Binary storage format for deep learning on videos.
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Sandbox for training convolutional networks for computer vision
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.