timmurz

timmurz's Stars

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.4k1.8k19418k

• zalandoresearch/fashion-mnist

  A MNIST-like fashion product database. Benchmark :point_down:

  Language:Python12k3301033k

• keras-team/autokeras

  AutoML library for deep learning

  Language:Python9.2k3019031.4k

• amueller/introduction_to_ml_with_python

  Notebooks and code for the book "Introduction to Machine Learning with Python"

  Language:Jupyter Notebook7.5k3681494.6k

• dennybritz/deeplearning-papernotes

  Summaries and notes on Deep Learning research papers

  4.4k7588903

• zackchase/mxnet-the-straight-dope

  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 https://d2l.ai/.

  Language:Jupyter Notebook2.6k136200725

• maxpumperla/hyperas

  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

  Language:Python2.2k63257318

• uber-research/deep-neuroevolution

  Deep Neuroevolution

  Language:Python1.6k7933301

• reiinakano/xcessiv

  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

  Language:Python1.3k5534105

• CMA-ES/pycma

  Python implementation of CMA-ES

  Language:Jupyter Notebook1.1k16256181

• jjallaire/deep-learning-with-r-notebooks

  R notebooks for the code samples of the book "Deep Learning with R"

  Language:HTML604

• WillKoehrsen/automated-feature-engineering

  Automated feature engineering in Python with Featuretools

  Language:Jupyter Notebook520303293

• philferriere/dlwin

  GPU-accelerated Deep Learning on Windows 10 native

  Language:Python5195039100

• h2oai/h2o4gpu

  H2Oai GPU Edition

  Language:C++46113438995

• mansimov/unsupervised-videos

  Unsupervised Learning of Video Representations using LSTMs

  Language:Cuda3591331111

• DEAP/notebooks

  Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

  Language:Jupyter Notebook22823182

• aqibsaeed/Genetic-CNN

  CNN architecture exploration using Genetic Algorithm

  Language:Python218131097

• harshtikuu/Abnormal_Event_Detection

  Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

  Language:Python176133785

• uber-research/safemutations

  safemutations

  Language:C++14414415

• hashemsellat/video-anomaly-detection

  Anomaly detection in videos using deep learning.

  Language:Jupyter Notebook7141333

• neuralix/google_evolution

  Language:Python534115

• NRauschmayr/Anomaly_Detection

  Language:Jupyter Notebook475314

• mljar/mljar-api-python

  A simple python wrapper over MLJAR API.

  Language:Python42111010

• pplcc/ubuntu-tensorflow-pytorch-setup

  Setup of TensorFlow and PyTorch on Ubuntu 18.04 -- the easy way!

  30113

• drsagitn/anomaly-detection-and-localization

  Language:Python233412

• jeffreyksmithjr/galapagos_nao

  A playground for continual, interactive neuroevolution

  Language:Elixir214220

• irdanish11/AnomalyEventDetection

  Unsupervised deep learning system for local anomaly event detection in crowded scenes

  Language:Python203613

• EASEA/easea

  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 Université de Strasbourg.

  Language:C++1824611

• maksimbolonkin/video_anomaly_detection_pytorch

  PyTorch implementation of the video anomaly detection paper

  Language:Jupyter Notebook11212

• jangorecki/anchormodeling

  Anchor Modeling metadata manager. AM in-memory Data Warehouse instances. Dashboard in shiny. Identity Management instances.

  Language:R2301