Dr. Sasanko S Gantayat (ssgantayat)

ssgantayat

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Company:S R University

Location:India

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Dr. Sasanko S Gantayat's repositories

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aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

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AIML-Programs

AIML Programs for Teaching

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awesome-awesome-artificial-intelligence

A curated list of awesome curated lists of many topics closely related to artificial intelligence.

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awesome-ml

Curated list of useful LLM / Analytics / Datascience resources

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awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

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BERT-Bidirectional-Encoder-Representations-from-Transformers

TensorFlow code and pre-trained models for BERT

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d2l-en-deep-learning

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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draw_convnet

drawing conventional network

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drawio-libs

Libraries for draw.io

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eurocup_sim

ML/Stats based predictions to UEFA Euro 2024

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FlowTurbo

Official PyTorch Implementation of "FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner"

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Generative-AI-for-Data-Science

Published by Packt Publishing

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Generative-AI-Foundations-in-Python

Generative AI Foundations in Python, published by Packt

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Generative-AI-with-Python-and-PyTorch-Second-Edition

Generative AI with Python and PyTorch , Second Edition - Published by Packt

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Hands-On-Graph-Analytics-with-Neo4j

Hands-On Graph Analytics with Neo4j, Published by Packt

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jupyterlab-demo

Demonstrations of JupyterLab

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lendingclubrandomforest

Use lending data from 2007-2010 at Lending Club to classify and predict whether or not the borrower paid back their loan in full.

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LivePortrait

Bring portraits to life!

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netron

Visualizer for neural network, deep learning and machine learning models

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pykan

Kolmogorov Arnold Networks

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SRU-AIML-2025

Artificial Intelligence and Machine Learning Labs

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statsmodels

Statsmodels: statistical modeling and econometrics in Python

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svm-irisflower

Given a data set of 50 samples from 3 species of Iris (length, width), utilize Support Vector Machine algorithm to train a model

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tensornetwork.org

Source for The Tensor Network open-source review article

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Unlocking-Data-with-Generative-AI-and-RAG

Unlocking Data with Generative AI and RAG, published by Packt

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XGBoost-for-Regression-Predictive-Modeling-and-Time-Series-Analysis

XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt

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