Pinned Repositories
booknlp
BookNLP, a natural language processing pipeline for books
cookiecompany.com
Datasets
deep-gauge
Deep gauge (using Tensorflow to read gauges)
Denumerant
This SAGE code computes the Sylvester Denumerant (aka Restricted Partition with Finite Parts) and other related information.
dnc-torch
PyTorch implementation of the differentiable neural computer.
fastainotes
This is the collection of tutorials based fastai documentation
Full-Stack-RAG
Full stack application for deploying RAG
Machine-Learning-SSSIHL
This is the repository for Machine Learning course at Sri Sathya Sai Institute of Higher Learning, MDH. You can find the lecture notes, python tutorials and assignments for this course.
raw_etexts
Sanskrit raw texts
sampathlonka's Repositories
sampathlonka/Machine-Learning-SSSIHL
This is the repository for Machine Learning course at Sri Sathya Sai Institute of Higher Learning, MDH. You can find the lecture notes, python tutorials and assignments for this course.
sampathlonka/raw_etexts
Sanskrit raw texts
sampathlonka/booknlp
BookNLP, a natural language processing pipeline for books
sampathlonka/cookiecompany.com
sampathlonka/Denumerant
This SAGE code computes the Sylvester Denumerant (aka Restricted Partition with Finite Parts) and other related information.
sampathlonka/Full-Stack-RAG
Full stack application for deploying RAG
sampathlonka/geomstats
Computations and statistics on manifolds with geometric structures.
sampathlonka/ght
sampathlonka/giotto-deep
Deep learning made topological.
sampathlonka/gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
sampathlonka/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
sampathlonka/IPO_Data_Analysis
sampathlonka/Linear_Algebra_With_Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
sampathlonka/MachineLearning-QandAI-book
Machine Learning Q and AI book
sampathlonka/MathForDL
sampathlonka/MDHcalculator
test repository
sampathlonka/Optimization-Techniques
sampathlonka/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
sampathlonka/RL-summarize
Summarization of Sanskrit text documents using Reinforcement Learning
sampathlonka/RoBERTa_Encoder_Decoder_Product_Names
Define Transformers, T5 model and RoBERTa Encoder decoder model for product names generation
sampathlonka/sampathlonka
Config files for my GitHub profile.
sampathlonka/sampathlonka.github.io
sampathlonka/San-Summarizer
This repository contains codes for the training of the Extractive and Abstractive Text summarization models for Sanskrit text documents. We pre-trained the SOTA BERT (and its variants) models with our Sanskrit data and then fine-tuned these models for further usecases.
sampathlonka/sanbert
This is a repository for pre-trained BERT model varients for Sanskrit.
sampathlonka/sanskrit
sampathlonka/scipy2023-deeplearning
sampathlonka/Taylors_Swift_lyrics_generation
sampathlonka/techbot.dev
An AI bot
sampathlonka/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2020
sampathlonka/veda_bot