vasishta Goto Github PK
Type: User
Company: Microsoft
Type: User
Company: Microsoft
A curated list of awesome machine learning interpretability resources.
Learn to deploy real applications in a scalable way, using Amazon Web Services.
Essential Cheat Sheets for deep learning and machine learning researchers
Algorithmic trading with deep learning experiments
Deep learning based page layout analysis
This repository is used by the Developer Site training content, Tokyo release.
A robot powered training repository :robot:
A small course on exploiting and defending neural networks
This repository contains all the repositories I like on Github. This uses a Chrome Extension on https://github.com/Idnan/like-on-github. Would try and categorise them into related topics at a later stage.
A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN.
Repository containing notebooks of my posts on Medium
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A pipeline for NLP projects using SkLearn
Build a Job Board with Python & Flask
Code for "Social Networks for Startups"
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
My Toolkit for Machine Learning and Data Science.
DLND
Overview of validation techniques
A collection of surprising Python snippets and lesser-known features.
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.