Stars
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
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.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
📡 Simple and ready-to-use tutorials for TensorFlow
Your new Mentor for Data Science E-Learning.
TensorFlow Tutorials with YouTube Videos
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (https://arxiv.org/abs/1508.06576) in Keras 2.0+
Collection of useful notebooks and snippets
A few exercises for use at events.
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
A use-case focused tutorial for time series forecasting with python
Building a Bayesian deep learning classifier
Practical Time-Series Analysis, published by Packt
Style Transfer as Optimal Transport
This is the code for the Kaggle Earthquake Challenge by Siraj Raval on Youtube
INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks
This is the code repository for my Medium post "Understanding your Convolution network with Visualizations"
Understanding time series forecasting
State of the Art Language models and Classifier for Nepali, which is official language of Nepal and one of the official status gained language of India
A repo of open source implementations of machine learning papers
All the feature visualizations and comparative supervised learning models
Analysis of different regression models for certain data.