Pinned Repositories
2016-datascience-labs
Labs for Introduction to Data Science @ U of U
AI-DL-Enthusiasts-Meetup
AI & Deep Learning Enthusiasts Meetup Project & Study Sessions
awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
Awesome-CoreML-Models
Largest list of models for Core ML (for iOS 11+)
awesome-courses
:books: List of awesome university courses for learning Computer Science!
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-deep-learning-papers
The most cited deep learning papers
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
maogautam's Repositories
maogautam/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
maogautam/AI-DL-Enthusiasts-Meetup
AI & Deep Learning Enthusiasts Meetup Project & Study Sessions
maogautam/Awesome-CoreML-Models
Largest list of models for Core ML (for iOS 11+)
maogautam/awesome-courses
:books: List of awesome university courses for learning Computer Science!
maogautam/awesome-deep-learning-papers
The most cited deep learning papers
maogautam/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
maogautam/computer-vision
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
maogautam/data-engineering-interview-questions
More than 2000+ Data engineer interview questions.
maogautam/data-science-blogs
A curated list of data science blogs
maogautam/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.
maogautam/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
maogautam/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
maogautam/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
maogautam/DeepLearning
Deep Learning (Python, C, C++, Java, Scala, Go)
maogautam/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
maogautam/dl4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
maogautam/fast-style-transfer
TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼
maogautam/free-programming-books
:books: Freely available programming books
maogautam/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
maogautam/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
maogautam/janino
Janino is a super-small, super-fast Java™ compiler.
maogautam/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
maogautam/Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
maogautam/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
maogautam/mlcourse.ai
Open Machine Learning Course
maogautam/nepali_text_classification
Nepali news classification using machine learning algorithms.
maogautam/Numerical-Analysis-Examples
:octocat: Numerical Analysis Implementations in Various Languages
maogautam/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
maogautam/ScrapyExample
maogautam/SimpleHTR
Handwritten Text Recognition (HTR) system implemented with TensorFlow.