llzenoll

llzenoll's Stars

• shaohua0116/Activation-Visualization-Histogram

  Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

  Language:Python37557

• rkjones4/GANGogh

  Using GANs to create Art

  Language:Python358123

• raghakot/keras-vis

  Neural network visualization toolkit for keras

  Language:Python3k658

• leriomaggio/deep-learning-keras-tensorflow

  Introduction to Deep Neural Networks with Keras and Tensorflow

  Language:Jupyter Notebook3k1.3k

• dustinvtran/ml-videos

  A collection of video resources for machine learning

  1.5k213

• usernaamee/keras-wavenet

  Keras implementation of deepmind's wavenet paper

  Language:Python41381

• basveeling/wavenet

  Keras WaveNet implementation

  Language:Python1.1k218

• LlionJ/blog

  Notebook from my blog

  Language:Jupyter Notebook151

• NervanaSystems/ModelZoo

  neon model zoo

  Language:Python17866

• metaflow-ai/neural_style

  A journey to explore neural style algorithm: From GPU to Mobile!

  Language:Python505

• Kyubyong/tacotron_asr

  Speech Recognition Using Tacotron

  Language:Python16339

• tkchris93/ForwardThinking

  Forward Thinking NIPS 2017

  Language:Python10627

• kailashahirwar/cheatsheets-ai

  Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

  15.2k3.4k

• echen/link-prediction

  Solution to Facebook's link prediction contest on Kaggle.

  Language:Scala20467

• stanfordmlgroup/nlc

  Neural Language Correction implemented on Tensorflow

  Language:Python15669

• alexjc/neural-doodle

  Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

  Language:Python9.9k908

• roatienza/Deep-Learning-Experiments

  Videos, notes and experiments to understand deep learning

  Language:Jupyter Notebook1.1k765

• janvdvegt/KernelMixtureNetwork

  Kernel Mixture Network implementation with some minor tweaks

  Language:Jupyter Notebook4512

• pawl/awesome-etl

  A curated list of awesome ETL frameworks, libraries, and software.

  3.4k351

• awjuliani/DeepRL-Agents

  A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

  Language:Jupyter Notebook2.3k826

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++189k74.6k

• fchollet/keras-resources

  Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

  3.2k886

• markdregan/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook107

• aloctavodia/Statistical-Rethinking-with-Python-and-PyMC3

  Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

  Language:Jupyter Notebook850256

• rmcelreath/rethinking

  Statistical Rethinking course and book package

  Language:R2.2k608

• melisgl/higgsml

  The winning solution to the The Higgs Boson Machine Learning Challenge.

  Language:Common Lisp12843

• dmlc/mxnet-notebooks

  Notebooks for MXNet

  Language:Jupyter Notebook613321

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  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 ;)

  Language:Jupyter Notebook27.3k7.9k

• nmkridler/moby

  python scripts

  Language:Python5527

• RJT1990/Active-Portfolio-Management-Notes

  Notes for Active Portfolio Management, by Grinold and Kahn

  Language:Jupyter Notebook4622