Name: Shyamal Suhana Chandra
Type: User
Company: VP R&D, Sapana Micro Software
Bio: VP R&D, Sapana Micro Software
Computer Scientist & AI Researcher & Chess Player, @lichess-org & @ucla Bruin and Pitt Panther for life! Ⓥ 🇺🇸
Twitter: shyamal_chandra
Location: Kansas, USA
Blog: shyamalchandra.home.blog
Shyamal Suhana Chandra's Projects
Doom 3 GPL source release
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Official doxygen git repository
A deep learning library for streamlining research and development using the Torch7 distribution.
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
Diagram question answering system described in "A Diagram is Worth a Dozen Images"
A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" Agent
A planning, control, and analysis toolbox for nonlinear dynamical systems. Please see the WIKI for documentation.
Reimplementation of DRAW
Official Objective-C SDK for the Dropbox API v2.
Reading Wikipedia to Answer Open-Domain Questions
Darwin Streaming Server is Apple's open source version of the QuickTime Streaming Server technology allowing you to send streaming media across the Internet using the industry standard RTP and RTSP protocols.
An implementation of a simulated annealing sampler for general Ising model graphs in C++ with a dimod Python wrapper.
Tabu solver for QUBO/Ising problems.
Dynamic Boltzmann Machines
DynaSim toolbox for modeling and simulating dynamical systems
DyNet: The Dynamic Neural Network Toolkit
Google Earth Enterprise - Open Source
A Matlab toolbox for cardiovascular signal processing
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
A lightweight conic solver for second-order cone programming.
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
The Open edX platform, the software that powers edX!
Efficient & General Video Super-Resolution
NewtonOS running on other operating systems
Open Source, Distributed, RESTful Search Engine
Build cross platform desktop apps with JavaScript, HTML, and CSS
Explore the Electron APIs
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent