Name: PINAKI BHATTACHARYYA
Type: User
Bio: Graduate Student
Interests: Soft condensed matter physics, Stochastic Processes, Biophysics, Nonequilibrium Statistical Mechanics, Quantitative Finance
Twitter: pinakiclickz
Location: Bangalore, India
PINAKI BHATTACHARYYA's Projects
Python wrapper for TA-Lib (http://ta-lib.org/).
Implementing technical indicators that are not implemented in ta-lib
Read and write Excel, Word and PDF documents in Julia
Teaching numerical methods with IPython notebooks: a tutorial prepared for Scipy 2014
TensorFlow Tutorial and Examples for Beginners with Latest APIs
test connecting RStudio to git and github
The textbook Computational and Inferentinal Thinking: The Foundations of Data Science
A template repository to quickly build an online textbook using Jekyll
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Source code for the C++ 20 Masterclass on udemy
Foundations and Applications
An Interactive Approach to Understanding Unsupervised Learning Algorithms
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
Text and code for the second edition of Think Bayes, by Allen Downey.
Book and code for Think Complexity, 2nd edition
Code examples and exercise solutions from Think Python by Allen Downey, published by O'Reilly Media.
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
Text and supporting code for Think Stats, 2nd Edition
Toolkit for integration and analysis
Module for statistical learning, with a particular emphasis on time-dependent modelling
A tiny package to compute the dynamics of stochastic and molecular simulations
Machine learning models for time series analysis
This is the code for "Time Series Prediction" By Siraj Raval on Youtube
Modeling time series in Julia
A list of popular github projects related to deep learning
Backtesting and trading with Julia reactive programming.
The Thalesians' Time Series Analysis (TSA) library