dksahuji Goto Github PK
Type: User
Type: User
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
An index of algorithms for learning causality with data
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
Must-read papers and resources related to causal inference and machine (deep) learning
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Introduction to Computer Graphics Assignments.
Public repository for the "Data-Centric Deep Learning" course taught by Mike Wu and Andrew Maas. Available at https://corise.com/course/data-centric-deep-learning.
solve problems in DSA
Code samples for the Effective Data Science Infrastructure book
this is my flask blog
Learn how to responsibly develop, deploy and maintain production machine learning applications.
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Notes on papers/code in various topics.
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 ;)
Python implementation of Sum-Product for Factor Graphs
PyMC educational resources
Code from the book Reactive Machine Learning Systems
Public repository for the Search Engineering course taught by Grant Ingersoll and Dave Anderson. Available at https://corise.com/course/search-engineering?utm_source=daniel.
Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-with-machine-learning?utm_source=daniel.
A Python package for Approximate Bayesian Computation
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.