chirag05b Goto Github PK

2015

Public material for CS109

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

chirag05b

chirag05b.github.io

A Jekyll version of the Clean Blog theme by Start Bootstrap

competitive-programming

:pushpin: :books: Solution of competitive programming problems, code templates, Data Structures and Algorithms, hackathons, interviews and much more.

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;

educational

Deepmind Educational Resource

generative-ai-on-aws

Generative AI on AWS

gpt-prompts

leaked prompts of GPTs

handson-ml3

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.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

lip_sync_using_wav2lip

This project Lip Syncs video to any audio using the Wav2Lip model

mapping-data

Coursera Lesson 2: Mapping Data to Python

mclaren-maze-race

McLaren Maze Race

ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

object-localization-using-tensorflow

Used TensorFlow's Keras API to create a convolutional neural network which was trained to classify as well as localize emojis in images.

portfolio

All of my projects are available here

project-based-learning

Curated list of project-based tutorials

pycaret-examples

real-time-ml-project

A curated list of applied machine learning and data science notebooks and libraries across different industries.

spaceship-titanic

Kaggle Spaceship Titanic Problem

transfer-learning-for-nlp-with-tensorflow-hub

Used pre-trained models from TensorFlow Hub and compared their performance for an NLP problem

uci-secom-feature-selection

Feature Selection: From ~600 to 17 features