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Name: Sharad Shashank
Type: User
Company: Georgia Institute of Technology
Bio: Data Scientist @ Amazon | Computational Data Analytics @ Georgia Tech
Location: Seattle, WA
Name: Sharad Shashank
Type: User
Company: Georgia Institute of Technology
Bio: Data Scientist @ Amazon | Computational Data Analytics @ Georgia Tech
Location: Seattle, WA
Linear Transformation aided Dimensionality Reduction
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 ;)
All Algorithms implemented in Python
100+ Python challenging programming exercises
PyTorch implementation of batched bi-RNN encoder and attention-decoder.
PyTorch implementation of beam search decoding for seq2seq models
95.47% on CIFAR10 with PyTorch
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
This project demonstrates how to use pytorch to perform semantic segmentation of satellite imagery.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A small package to create visualizations of PyTorch execution graphs
Playground for React & D3.js
Code for satellite image segmentation using Unet or Mask RCNN and comparing these two approaches.
Segmentation models with pretrained backbones. PyTorch.
Plots seismic, sorta
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Severstal: Steel Defect Detection
Collection of Summer 2022 tech internships!
Computation using data flow graphs for scalable machine learning
CNN for sentence classification using Pytorch and MXNET
Implementation of State-of-the-art Text Classification Models in Pytorch
Text classification using deep learning models in Pytorch
all kinds of text classification models and more with deep learning
Text Classification Algorithms: A Survey
A Benchmark of Text Classification in PyTorch
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
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.