akshaychadhagit Goto Github PK
Type: User
Type: User
A curated list of awesome deep learning applications in the field of computational biology
Course materials and webpage for biol355
Library of interesting Books
Code for paper "How transferable are features in deep neural networks?"
fast.ai Courses
Cheat Sheets
Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Residual Learning for Image Recognition
A collaboratively written review paper on deep learning, genomics, and precision medicine
A place to collect papers that are related to deep learning and computational biology
A list of deep learning implementations in biology
Public facing deeplift repo
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Keras Temporal Convolutional Network.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Simulated datasets of DNA
A demo of predicting translation initiation sites using TIDE.
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.