vatsl Goto Github PK
Name: Vatsal Srivastava
Type: User
Company: https://www.linkedin.com/in/vatsal410/
Bio: Grad Student at Georgia Tech | Passionate about Technology and Problem Solving
Location: Atlanta, USA
Name: Vatsal Srivastava
Type: User
Company: https://www.linkedin.com/in/vatsal410/
Bio: Grad Student at Georgia Tech | Passionate about Technology and Problem Solving
Location: Atlanta, USA
Public material for CS109
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.
Coursera's Algorithms Part 1 assignments
A few projects towards gaining knowledge of developing autonomous vehicles using Computer Vision and Deep Learning.
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
An awesome list of high-quality open datasets in public domains (on-going).
This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX
BerkeleyX: CS100.1x, Introduction to Big Data with Apache Spark
Get the day of the week from any date.
Implementation of Model Predictive Control to autonomously navigate a vehicle.
Build a path planner that creates smooth and safe trajectories for the car to follow.
Determining the steering angle of an autonomous vehicle using the concepts of PID controllers.
In this project, we label the pixels of a road in images using a Fully Convolutional Network (FCN).
Solutions to "Introduction to Algorithms" by Cormen, Leiserson, Rivest, Stein (CLRS)
Build a Jekyll blog in minutes, without touching the command line.
Data structures: Measuring and Optimizing Performance
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
summer school coursework
Cracking the Coding Interview, 5th Edition
My solutions to Udacity's Parallel Programming course (CS 344)
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
The Leek group guide to data sharing
Benchmarking Deep Learning operations on different hardware
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.