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Name: Akshay Bhardwaj
Type: User
Bio: Data Scientist
Name: Akshay Bhardwaj
Type: User
Bio: Data Scientist
Code written for assignments as a part of Coursera's Algorithmic Toolbox by UCSD
simple audio I/O for pytorch
In this project, we will perform an exploratory analysis on data provided by Motivate, a bike-share system provider for many major cities in the United States.
This repository contains Monte Carlo solution to get the optimal policy to play the game of Blackjack.
This repository contains a Decision Tree model that predicts the boston house prices.
Bringing Old Photo Back to Life (CVPR 2020 oral)
Deploy an application (Apache Web Server) and pick up code (JavaScript and HTML) from S3 Storage using cloudformation
The repository contains basic exploration of Pytorch library to apply CNNs for Image classification
Analytics engineering with dbt - projects and developer environment
The 3rd edition of course.fast.ai - coming in 2019
The code in this repository represents the Pset exercises for the 2017 version of CS50
In this project I will use unsupervised learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data.
๐ค Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas
In this project, we will build a pipeline that can be used within a web or mobile app to process real-world, user-supplied images. Given an image of a dog, the algorithm will identify an estimate of the canineโs breed. If supplied an image of a human, the code will identify the resembling dog breed.
This repository contains optimal policy and state-value function evaluation for the Frozen Lake environment using Dynamic Programming
The problem of multi-class sound classification is tackled in this project.
A repository following the journey of fastai v3 part 2. I will try to recreate the fastai library following the lectures and hopefully learn a lot.
Draft of the fastai book
In this project, we will employ several supervised algorithms of your choice to accurately model individuals' income using data collected from the 1994 U.S. Census.
In this project, we train an actor-critic agent to learn how to fly a Quadcopter.
Detailed data analysis and visualization of historic Olympics results have been performed in this repository.
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.