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Name: Adit Deshpande
Type: User
Location: San Francisco, CA
Name: Adit Deshpande
Type: User
Location: San Francisco, CA
Program that reads in accelerometer data (x, y, z direction values), trains a neural network program for classification, and then outputs predictions for a set of test data
Build a Jekyll blog in minutes, without touching the command line.
The Flask server that communicates with my FB Messenger chatbot
CS 145 Yelp Project
Facebook chatbot that I trained to talk like me using Seq2Seq
Tutorial on GANs
Hackerrank ML Competition
Simple ConvNet to classify digits from the famous MNIST dataset
Repo for the $1.2 million Kaggle competition
Kaggle Ghosts ML Competition
Kaggle Titanic Survival ML Competition
Sentiment Analysis with LSTMs in Tensorflow
List of all the lessons learned, best practices, and links from my time studying machine learning
Notes for several Machine Learning and Deep Learning courses, textbooks, and talks
Just trying to reimplement machine learning techniques like linear regression, neural nets, logistic regression, etc in Python
Kaggle Competition for Predicting NCAA Basketball Tourney Games
Machine learned bracketology
MLB Web App using React
Neural network that predicts the number of wins for a baseball team based on the importance of different statistical categories and their influence on a team's success.
Trying to apply deep learning to music analysis
Visualizations of statistics for NBA players
Programs with word vectors, RNN, NLP stuff, etc
Playing around with Open AI's reinforcement learning frameworks
Tutorial on Using Pandas
Trying out PyTorch because the hype is real
Using the Quandl API to (try) to apply ML to the stock market
A collection of simple RL agents in different environments
Displays simple information about a phone's available senors and its current values.
My Machine Learning + March Madness demo for UCLA's Tech+You event
Implementations of CNNs, RNNs, GANs, etc
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.