raqib03 Goto Github PK

bookclub

Notes and links from the book club meetings

coding-challenge

HKUST VisLab Coding Challenge

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cs50p

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

darknet

Convolutional Neural Networks

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

datasharing

The Leek group guide to data sharing

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

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.

machine-learning-specialization-coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

ml-course-notes

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

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

ml-practice

ml-study-guide

Minimal Machine Learning Study Plan

nn-from-scratch

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python

All Algorithms implemented in Python

pytorch-tutorials

My notes, experiments, and implementations from learning pytorch from various resources.

start-machine-learning-in-2020

A complete guide on how to start learning machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field.

tensorflow-livelessons

"Deep Learning with TensorFlow" LiveLessons

traffic-analysis