anirbanpatra Goto Github PK

ai-ml-learning-path

A list of (mostly free) ressources to learn Artificial Intelligence and Machine Learning.

ai_project_ease_andysmet_kristofegghe

AI_Project 2021/2022 Andy Smet and Kristof Egghe Embarrassingly Shallow Autoencoders using the comics subset of the Goodreads dataset

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-ai-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

awesome-algorithmic-trading

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

cbe30338

Chemical Process Control

coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

coursera-test

courseratest

For Coursera Test

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-coursera-1

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-trading

Algorithmic trading with deep learning experiments

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

digital-twin-in-python

In this repo we will show how to build a simple but useful Digital Twin using python. Our asset will be a Li-ion battery. This Digital Twin will allow us to model and predict batteries behavior and can be included in any virtual asset management process.

digitaltwin_tutorial

Digital twin for structural dynamics applications

fault-detection-for-predictive-maintenance-in-industry-4.0

This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

juliacoursenotebooks

Jupyter notebooks for the Julia Scientific Programming course on Coursera

juliatutorial

Julia Tutorial for Finance and Econometrics Students

keras-io

learn-algorithmic-trading

Learn Algorithmic Trading, Published by Packt

longshortmemorymodelnifty

LSTM model for Nifty - trained and tested from last 15 years (with all technical indicators and other key parameters)