bhaskatripathi

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)

FusionGPT

The OpenAI API has a token limit of 4K per request. This application addresses this limitation by dividing large text requests into smaller parts, each processed as a separate API request. The resulting responses are combined and presented to the user in their entirety. The approach enhances manageability and ensures adherence to the token limit.

graphGita

First scientific re-interpretation of Bhagwad Gita with Knowledge Graphs improved with Monte Carlo Tree Search

GWOSVR

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

HypothesisHub

An AI Tool for Automated Research Question and Hypothesis Generation from a given Scientific Literature

Journalfinder

The Scientific Journal Finder suggests the best matching journals for a given research paper.

pdfGPT

PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!

pyviralcontent

A package for analyzing content readability and virality potential.

Text2Diagram

Text2Diagram is an AI based diagramming tool that uses Natural language text to create diagrams.

TypeTruth

TypeTruth is a Python library that detects whether a text is written by a human or AI. Ideal for fact-checking and content validation in the age of AI content generators.

bhaskatripathi/GWOSVR

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

bhaskatripathi/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)

bhaskatripathi/FusionGPT

The OpenAI API has a token limit of 4K per request. This application addresses this limitation by dividing large text requests into smaller parts, each processed as a separate API request. The resulting responses are combined and presented to the user in their entirety. The approach enhances manageability and ensures adherence to the token limit.

bhaskatripathi/BenchmarkFunctions

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

bhaskatripathi/financial-machine-learning

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

bhaskatripathi/Indian_national_anthem

Indian national anthem on Aurdino

bhaskatripathi/Scientific_computing_libraries

Some of the most efficient libraries for Scientific Computation

bhaskatripathi/how_to_read_research_papers

How to read research papers

bhaskatripathi/Randomwalks

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

bhaskatripathi/dalle-playground

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

bhaskatripathi/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.

bhaskatripathi/astarag_mohapatra.github.io

bhaskatripathi/awesome-production-machine-learning

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

bhaskatripathi/aws-icons-for-plantuml

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

bhaskatripathi/ccxt

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

bhaskatripathi/Data_Science_AI_Conferences_Calendar

bhaskatripathi/deep-learning-time-series

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

bhaskatripathi/deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

bhaskatripathi/EEG-Based-Emotion-Recognition-on-DEAP

bhaskatripathi/EEG-Datasets

A list of all public EEG-datasets

bhaskatripathi/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

bhaskatripathi/eimenhmdt

Config files for my GitHub profile.

bhaskatripathi/EntropyHub

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

bhaskatripathi/galactica

Model API for GALACTICA

bhaskatripathi/kubernetes-demo

bhaskatripathi/LSTM_Univariate_chickenpox_Prediction

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

bhaskatripathi/madhubani_paintings_generator

bhaskatripathi/openvswitch.github.io

Repo for main OVS web site.

bhaskatripathi/rl-baselines3-zoo

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

bhaskatripathi/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.