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
A programming language for real time audio synthesis and algorithmic composition
SuperTux source code
Surface Duo OSS
Netflix's distributed Data Pipeline
C++ SVG library
Support Vector Machine in Javascript (SMO algorithm, supports arbitrary kernels) + GUI demo
We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
Western Digital’s Open Source RISC-V SweRV Instruction Set Simulator
A directory of Western Digital’s RISC-V SweRV Cores
Generate or decompile Adobe Flash SWF files using an XML dialect. Inspect and modify the XML by hand, or by using a built in XSLT processor.
Utilities for editing and generating Adobe Flash (SWF) files.
The Swift Programming Language
Swift for TensorFlow Project Home Page
Swift 3.0.1 Cookbook
Algorithms and data structures in Swift, with explanations!
📒 Algorithms and Data Structures in Swift. The used approach attempts to fully utilize the Swift Standard Library and Protocol-Oriented paradigm.
Swift for TensorFlow Deep Learning Library
Create macOS apps with Swift packages instead of Xcode projects
A quick reference cheat sheet for common, high level topics in Swift.
The Foundation Project, providing core utilities, internationalization, and OS independence
The libdispatch Project, (a.k.a. Grand Central Dispatch), for concurrency on multicore hardware
The XCTest Project, A Swift core library for providing unit test support
Swift Core ML 3 implementations of GPT-2 and BERT for Question answering. Other Transformers coming soon!
Swift compiler driver reimplementation in Swift
See here for the full tutorial
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent