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PyTorch implementation of the video anomaly detection paper
Setup of TensorFlow and PyTorch on Ubuntu 18.04 -- the easy way!
Unsupervised deep learning system for local anomaly event detection in crowded scenes
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
Anomaly detection in videos using deep learning.
GPU-accelerated Deep Learning on Windows 10 native
Anchor Modeling metadata manager. AM in-memory Data Warehouse instances. Dashboard in shiny. Identity Management instances.
Unsupervised Learning of Video Representations using LSTMs
Python Data Science Handbook: full text in Jupyter Notebooks
Automated feature engineering in Python with Featuretools
Notebooks and code for the book "Introduction to Machine Learning with Python"
A playground for continual, interactive neuroevolution
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
A MNIST-like fashion product database. Benchmark 👇
Summaries and notes on Deep Learning research papers
EASEA (EAsy Specification of Evolutionary Algorithms) is an Artificial Evolution platform developped by the SONIC (Stochastic Optimisation and Nature Inspired Computing) group of the BFO team at Un…
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
CNN architecture exploration using Genetic Algorithm
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …
Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)