utathya Goto Github PK

ai-nlp-paper-readings

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

allennlp

An open-source NLP research library, built on PyTorch.

annotated-papers

This repository contains all the papers which I read and annotate. The papers are mostly RL focused, however, expect some deviations.

annotated-papers_do

Contains all research papers read since the end of July 2020 :+1:

annotated-research-papers

This repository is a comprehensive collection of research papers, annotations, and concise summaries in the field of Natural Language Processing (NLP). It focuses on machine learning and deep learning techniques, providing valuable resources for NLP enthusiasts and researchers.

annotated_research_papers

This repo contains annotated research papers that I found really good and useful

approachingalmost

Approaching (Almost) Any Machine Learning Problem

artistic-style-transfer-using-keras-tensorflow

Art to Image Style Transfer using Keras and Tensorflow.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

breastcancer

cnn-architectures

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

ebooks

These are Some useful ebook

feature-selection-for-machine-learning

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

free-programming-books

:books: Freely available programming books

god-level-data-science-ml-full-stack

A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

hands-on-genetic-algorithms-with-python

Hands-On Genetic Algorithms with Python, Published by Packt

learn-python-with-shyam

A repo for Python learning

leetcode-patterns

A pattern-based approach for learning technical interview questions

llm-agent-survey

machine-learning

Programming Assisgnments for Machine Learning using various algorithms in Octave/ Matlab.

machine-learning-zoomcamp

The code from the Machine Learning Bookcamp book and a free course based on the book

ml4se

A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering

modeleditingpapers

Must-read papers on model editing.

monk_v1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.