ybayle
Follow
Lists (8)
Stars
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
An adversarial example library for constructing attacks, building defenses, and benchmarking both
A scikit-learn compatible neural network library that wraps PyTorch
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Introduction to Deep Neural Networks with Keras and Tensorflow
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Deep Learning tutorials in jupyter notebooks.
Demo of running NNs across different frameworks
Tutorials and implementations for "Self-normalizing networks"
USC urban data science course series in Python
Instructional notebooks on music information retrieval.
Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Data and analysis for 'Machine Bias'
A template for small scientific python projects
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
Transfer learning for music classification and regression tasks
Tutorial on change detection in time series data