bhaskatripathi

GWOSVR

Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)

CEEMDAN_LSTM

An advancement on the EEMD method, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) allows for a granular spectral separation of the Intrinsic Mode Functions and a more precise reconstruction of the original signal (IMFs)

BenchmarkFunctions

This is a running list of benchmark functions for Single and Multi-Objective Optimization problems

Scientific_computing_libraries

Some of the most efficient libraries for Scientific Computation

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)

how_to_read_research_papers

How to read research papers

Indian_national_anthem

Indian national anthem on Aurdino

Interpolation

Interpolate missing values in any data using Cubic Spline Method. The code iterates over all the files in a directory, reads each files, applies interpolation and finally dumps the output file in another directory

Randomwalks

Random Walk strategies for optimization algorithms using Low-Discrepancy Sequences and quasi-Monte Carlo simulations

scientific_writing

Golden Rules of Scientific Writing | My Personal list of experiences

dalle-playground

A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)

tink

Tink is a small crypto library that provides a safe, simple, agile and fast way to accomplish some common crypto tasks. It is written by a group of cryptographers and security engineers at Google, but it is not an official Google product.

astarag_mohapatra.github.io

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

aws-icons-for-plantuml

PlantUML sprites, macros, and other includes for Amazon Web Services services and resources

ccxt

A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

Data_Science_AI_Conferences_Calendar

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

EEG-Based-Emotion-Recognition-on-DEAP

EEG-Datasets

A list of all public EEG-datasets

EEMD-LSTM-DO-Prediction

EEMD(集合经验模态分解)、LSTM(长短时记忆网络)、time series prediction(时间序列预测)、DO（dissolved oxygen,溶解氧）、Deep Learning

eimenhmdt

Config files for my GitHub profile.

EntropyHub

An open-source toolkit for entropic time-series analysis.

kubernetes-demo

LSTM_Univariate_chickenpox_Prediction

LSTM (Univariate, Multi-step) - Time Series forecasting of Chickenpox cases

madhubani_paintings_generator

openvswitch.github.io

Repo for main OVS web site.

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Wrapper-Feature-Selection-Toolbox-Python

This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.