Sreekar Maganti's repositories
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
artificial-intelligence-for-trading
Content for Udacity's AI in Trading NanoDegree.
CBOE-Volatility-Index-Data
The VOLATILITY S&P 500 data set.
circle_ci-setup
Repository to set up CircleCI
Data-Visualisation-libraries
A Repository consisting of various visualisation libraries in Python and R
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
deeplearning-models
A collection of various deep learning architectures, models, and tips
deeptraffic
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
GitHub-Battle
React.js web application for battling GitHub users based on profile metrics
handtrack.js
A library for prototyping realtime hand detection (bounding box), directly in the browser.
Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
name_my_startup
Basic Flutter app in Dart to suggest startup names and favourite them
PlotNeuralNet
Latex code for making neural networks diagrams
public-apis
A collective list of free APIs for use in software and web development.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
R-SQL-Syntax
Showing how different SQL queries can be used in R
React-Blog
Serverless blog built in React using ButterCMS and Netlify
sreekarm.github.io
Build a Jekyll blog in minutes, without touching the command line.
stat479-deep-learning-ss19
Course material for STAT 479: Deep Learning (SS 2019) course at University Wisconsin-Madison
tensorflow2-deep-reinforcement-learning
Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.0"
tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
tf-encrypted
Layer on top of TensorFlow for doing machine learning on encrypted data