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Implementation and demo of explainable coding of clinical notes with Hierarchical Label-wise Attention Networks (HLAN)
Model interpretability and understanding for PyTorch
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Baseline solution to Quora Duplicate Question dataset.
Minimal examples of data structures and algorithms in Python
CNN for multi-class image recognition in tensorflow
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
A complete computer science study plan to become a software engineer.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
The most cited deep learning papers
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Website and material for the FIXME course on Practical Machine Learning
Starter code for working with the YouTube-8M dataset.
Tweets metadata scraper & activity analyzer
Data and code behind the articles and graphics at FiveThirtyEight
DL course co-developed by YSDA, HSE and Skoltech
Python Data Science Handbook: full text in Jupyter Notebooks
Notebooks and code for the book "Introduction to Machine Learning with Python"
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!