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! β πΊπΈ
Twitter: shyamal_chandra
Location: Kansas, USA
Blog: shyamalchandra.home.blog
Shyamal Suhana Chandra's Projects
Go language bindings for the Intel Movidius Neural Compute Stick
Godot Engine β Multi-platform 2D and 3D game engine
Google APIs Client Library for Java
Google APIs Client Library for Objective-C for REST
π The official Python client library for Google's discovery based APIs.
Google Research
:mag: Google from the terminal
The Go kernel for Jupyter notebooks and nteract.
Got Your Back (GYB) is a command line tool for backing up your Gmail messages to your local computer. It uses Gmail's API over HTTPS. For help with GYB, see the Getting Started Guide at https://github.com/jay0lee/got-your-back/wiki
Main gperftools repository
Gaussian processes in TensorFlow
Code for the paper "Language Models are Unsupervised Multitask Learners"
GPT-3: Language Models are Few-Shot Learners
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
Where the GPU for the Web work happens!
GraalVM: Run Programs Faster Anywhere :rocket:
The tool for beautiful monitoring and metric analytics & dashboards for Graphite, InfluxDB & Prometheus & More
A Tool for Writing Declarative, Type-Safe and Data-Driven Applications in SwiftUI using GraphQL (Alpha)
GraphChi's C++ version. Big Data - small machine.
GraphChi's Java version
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
A parallel, distributed simulator for multicores.
A framework for large-scale machine learning and graph computation.
GraphQL is a query language and execution engine tied to any backend service.
A toolkit for SQLite databases, with a focus on application development
Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6
this repository accompanies the book "Grokking Deep Learning"
Video Grounding and Captioning
semantic parser trained by using videos only instead of labeled logical forms