kswersky's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
google/python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
google/deepdream
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
HIPS/autograd
Efficiently computes derivatives of NumPy code.
weaveworks/weave
Simple, resilient multi-host containers networking and more.
google/tangent
Source-to-Source Debuggable Derivatives in Pure Python
HIPS/Spearmint
Spearmint Bayesian optimization codebase
JasperSnoek/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
slembcke/debugger.lua
A dependency free, embeddable debugger for Lua in a single file (.lua or .h)
google-research/meta-dataset
A dataset of datasets for learning to learn from few examples
twitter-archive/torch-autograd
Autograd automatically differentiates native Torch code
HIPS/Kayak
Kayak is a library for automatic differentiation with applications to deep neural networks.
yujiali/gmmn
Generative moment matching networks
bshillingford/autobw.torch
alexbw/conda-lua-recipes
Conda recipes for the Lua & Torch ecosystem
mlforsystems/mlforsystems.github.io
Workshop on ML for Systems at NIPS 2018 Date December 8th, 2018