sayantan237 Goto Github PK
Name: Sayantan Banerjee
Type: User
Company: IIT MADRAS
Bio: PhD student working with Time Series Models
Twitter: sayantan4u71
Location: Chennai
Blog: sayantan237.github.io
Name: Sayantan Banerjee
Type: User
Company: IIT MADRAS
Bio: PhD student working with Time Series Models
Twitter: sayantan4u71
Location: Chennai
Blog: sayantan237.github.io
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
Comparisons of ARIMA , ANN and a Hybrid model for Timeseries forecasting
list of papers, code, and other resources
A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"
Bayesian LSTM Implementation in PyTorch
Deep Learning Specialization by Andrew Ng on Coursera.
This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.
The official implemenataion of the "Denoising Architecture for Unsupervised Anomaly Detection in Time-Series" paper.
Explaining Git and GitHub.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
Plain python implementations of basic machine learning algorithms
An implementation of convolutional networks in NumPy!
NYU Course Notes & Resources
Materials of the Nordic Probabilistic AI School 2022.
Advanced Python Mastery (course by @dabeaz)
PyTorch Tutorial for Deep Learning Researchers
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Taxi fare prediction using tensorflow probability
Collection of notebooks for time series analysis
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
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.