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andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

applied-machine-learning

Applied Machine Learning @ http://amitkaps.com/ml

artificial-intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

autopilot

A self driving car model for humans.

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-pytorch-list

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

awesome_machine_learning_solutions

A curated list of repositories for my book Machine Learning Solutions.

bigdata

This repository hosts the code/projects/demos/slides for Big Data technologies under Apache Hadoop and Apache Spark umbrella.

blog-posts

This repository hosts all the blog posts on machine learning, deep learning and statistical modeling.

course-nlp

A Code-First Introduction to NLP course

coursera-machine-learning-andrewng-python

This contains notes and exercises made in Python I made a long time ago from the Andrew Ng course in Coursera.

credit-card-fraud-detection-imbalanced-dataset

In this repository, I created an application which tackles the imbalanced data problem using a SMOTE(Synthetic Minority Over-Sampling Technique) , we see this approach in Data Generator python notebook, we then use this approach to train and make predictions with some ensemble ML techniques, TensorFlow based Neural Network and then A Deep Auto Encoder which is used as a binary classifier.

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

data

Data and code behind the stories and interactives at FiveThirtyEight

data-science--cheat-sheet

Cheat Sheets

datasciencecoursera

Repo for the Project

datasharing

The Leek group guide to data sharing

deep-learning

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-boot-camp

A community run, 5-day PyTorch Deep Learning Bootcamp

deep-learning-tutorial

This repository contains Deep Learning tutorial projects.

deep-reinforcement-learning-explained

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-gdansk2019-tutorial

Ordinal Regression tutorial for the International Summer School on Deep Learning 2019

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning-padhai

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

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

dlaicourse

Notebooks for learning deep learning