xiaoyili

diagrams

:art: Diagram as Code for prototyping cloud system architectures

Super-SloMo

PyTorch implementation of Super SloMo by Jiang et al.

my_ml_service

My Machine Learning Web Service

tianshou

An elegant PyTorch deep reinforcement learning library.

ftlib

Fault-tolerant for DL frameworks

pbt

Jupyter notebooks to play around with population based training, as described in https://arxiv.org/abs/1711.09846

PopulationBasedTraining

A simple PyTorch implementation of Population Based Training of Neural Networks.

population-based-training

Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.

mpi-operator

Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)

elasticdl

Kubernetes-native Deep Learning Framework

faceswap-model

Tweaking the generative model

undecided

h2o-2

Please visit https://github.com/h2oai/h2o-3 for latest H2O

hyperopt-convnet

Convolutional computer vision architectures that can be tuned by hyperopt.

N-blog

《一起学 Node.js》

rembo

Bayesian optimization in high-dimensions via random embedding.

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

translational-DBN

A variation on Deep Belief Networks that allows labels to be used in pretraining. The application is tracing tongue surface contours from ultrasound images

DeepLearning

Deep Learning (Python, C, C++, Java, Scala, Go)

MonteTheano

theano_optimize

Theano implementation of different optimization algorithms

pylearn2

Warning: This project does not have any current developer. See bellow.