nahilsobh Goto Github PK
Name: Nahil A. Sobh
Type: User
Company: University of Illinois
Bio: Lead Deep Learning Scientist at University of Illinois
Name: Nahil A. Sobh
Type: User
Company: University of Illinois
Bio: Lead Deep Learning Scientist at University of Illinois
Examples of TF distributed training and hyperparameter search projects for HAL workshops.
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
Keras implementation of Road Extraction by Deep Residual U-Net article
DeepGS is a R package for predicting phenotypes from genotypes using deep learning techniques.
A collection of various deep learning architectures, models, and tips
Distributed, mixed-precision training with PyTorch
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Discriminative Random Walk with Restart
Visualizations for machine learning datasets
The fastai deep learning library, plus lessons and tutorials
Draft of the fastai book
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
GARFIELD-NGS: Genomic vARiants FIltering by dEep Learning moDels in NGS
Network based prioritization of genes-associated-phenotype
Clusters any data frame
A toolkit for developing and comparing reinforcement learning algorithms.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
InPheRNo (Inference of Phenotype-relevant Regulatory Networks) is a computational tool to reconstruct phenotype-relevant transcriptional regulatory networks (TRNs) using transcriptomic and phenotypic data.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Example Notebooks and Manual for the Hubzero and nanoHUB Jupyter Notebook Server
Demonstrations of JupyterLab
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.