bhaskatripathi/AlpacaLoraLLaMAJupyter Notebook
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Repositories
bhaskatripathi repositories
bhaskatripathi/AskLisaPython
Ask Lisa is an AI powered chatbot experiment that provides users with animated video responses to their questions using OpenAI. Ask anything, from general knowledge, advice, to fun facts and play the video responses.
(4 stars) (1 fork) (0 indexed issues) (0 open good first issues)
This is a running list of benchmark functions for Single and Multi-Objective Optimization problems
(6 stars) (1 fork) (0 indexed issues) (0 open good first issues)
bhaskatripathi/C4-PlantUMLPlantUML
C4-PlantUML combines the benefits of PlantUML and the C4 model for providing a simple way of describing and communicate software architectures
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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)
(27 stars) (1 fork) (0 indexed issues) (0 open good first issues)
bhaskatripathi/CitationFinderJupyter Notebook
The project aims to automate the process of generating relevant citations for a given text and conducting literature review for researchers.
(3 stars) (1 fork) (0 indexed issues) (0 open good first issues)
Cryptocurrency-Derivatives
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bhaskatripathi/Cryptodata_Coinbase_Kraken_BinanceJupyter Notebook
This repository downloads the historical data from Coinbase. The coinbase API only supports 300 records. We harvest the data incrementally
(6 stars) (1 fork) (0 indexed issues) (0 open good first issues)
(6 stars) (2 forks) (0 indexed issues) (0 open good first issues)
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bhaskatripathi/EEG-Based-Emotion-Recognition-on-DEAPJupyter Notebook
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A list of all public EEG-datasets
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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
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An open-source toolkit for entropic time-series analysis.
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bhaskatripathi/FusionGPTJavaScript
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.
(7 stars) (4 forks) (0 indexed issues) (0 open good first issues)
bhaskatripathi/GWOSVRPython
Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)
(81 stars) (20 forks) (0 indexed issues) (0 open good first issues)
bhaskatripathi/Hidden-Layers-NeuronsJupyter Notebook
(0 stars) (0 forks) (0 indexed issues) (0 open good first issues)
bhaskatripathi/HypothesisHubJupyter Notebook
An AI Tool for Automated Research Question and Hypothesis Generation from a given Scientific Literature
(37 stars) (2 forks) (0 indexed issues) (0 open good first issues)