mamoon115 Goto Github PK

2015

Public material for CS109

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

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

awesome-dl4nlp

A curated list of awesome Deep Learning for Natural Language Processing resources

awesome-pytorch-list

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

baby-names-analysis

Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

codesearchnet

Datasets, tools, and benchmarks for representation learning of code.

coursera-machine-learning-stanford

Machine learning-Stanford University

courses-

Quiz & Assignment of Coursera

darkserver

GNU Build-id providing service

data-analysis

Data Science Using Python

data-science--cheat-sheet

Cheat Sheets

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

deep-learning-drizzle

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

deep-learning-prerequisites

The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence

deep-learning-v2-pytorch

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

deeplearningprojects

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

effectivetensorflow

TensorFlow 1.x and 2.x tutorials and best practices.

faqs_pytorch_scholarship

FAQs in Slack channel of Udacity's PyTorch Scholarship Challenge.

fastbook

The fastai book, published as Jupyter Notebooks

hands-on-natural-language-processing-with-python

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

hydrogen

:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.

littlebookofrbioinformatics

A Little Book of R for Bioinformatics

machine-learning-exercise

Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

matplotlib

Overview of Matplotlib