kovendhanv

AIML-Projects-Kovendhan

Repository containing the List of AIML Projects

AIMLNotes

Master Notes repo for AIML Learnings

AppliedAiCourse-AssignmentAndNotes

This repo contains the Applied Ai Course Assignments and Notes.

MathsforML

Mathematics for Machine Learning Notebooks and files

Natural-Language-Processing-Deeplearning-ai

Repository for Assignments done for Natural Language Processing Specialization offered by deeplearning.ai.

autoEDA-resources

A list of software and papers related to automatic and fast Exploratory Data Analysis

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

data-science-from-scratch

code for Data Science From Scratch book

DE-GAN

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

Deep-Learning-NLP

:satellite: Organized Resources for Deep Learning in Natural Language Processing

Deep-Learning-Roadmap

:satellite: Organized Resources for Deep Learning Researchers and Developers

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

eda_and_beyond

Library of small tools for EDA and Modeling

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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.

Kaggle

List of Kaggle notebooks

kovendhanv.github.io

machine-learning

python Machine Learning and Deep Learning programs

Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

PadhAI-DeepLearning

All the code files related to the deep learning course from PadhAI

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-Deep-Learning

Deep Learning (with PyTorch)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

Stats-Maths-with-Python

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

The-Deep-Learning-Workshop

ThinkStats2

Text and supporting code for Think Stats, 2nd Edition