JasperSnoek

JasperSnoek's Stars

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++187k7.5k40.1k74.4k

• karpathy/char-rnn

  Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

  Language:Lua11.7k5341792.6k

• twitter/finagle

  A fault tolerant, protocol-agnostic RPC system

  Language:Scala8.8k5514151.4k

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python8k1313661.6k

• HIPS/autograd

  Efficiently computes derivatives of NumPy code.

  Language:Python7.1k212407915

• pksunkara/alpaca

  Given a web API, Generate client libraries in node, php, python, ruby

  Language:Go2.5k725589

• HIPS/Spearmint

  Spearmint Bayesian optimization codebase

  Language:Python1.6k7995329

• 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

  Language:Python1.4k10464333

• torch/nn

  Language:Lua1.3k109476965

• harvardnlp/seq2seq-attn

  Sequence-to-sequence model with LSTM encoder/decoders and attention

  Language:Lua1.3k9787279

• hannes-brt/hebel

  GPU-Accelerated Deep Learning Library in Python

  Language:Python1.2k8215120

• nitishsrivastava/deepnet

  Implementation of some deep learning algorithms.

  Language:Python895120107438

• jtriley/StarCluster

  StarCluster is an open source cluster-computing toolkit for Amazon's Elastic Compute Cloud (EC2).

  Language:Python58165447308

• torch/distro

  Torch installation in a self-contained folder

  Language:CMake55936191483

• twitter-archive/torch-autograd

  Autograd automatically differentiates native Torch code

  Language:Lua55950108115

• TorontoDeepLearning/convnet

  A GPU implementation of Convolutional Neural Nets in C++

  Language:Cuda5077327229

• calico/basenji

  Sequential regulatory activity predictions with deep convolutional neural networks.

  Language:Python41530172127

• davek44/Basset

  Convolutional neural network analysis for predicting DNA sequence activity.

  Language:Jupyter Notebook2582351106

• nagadomi/kaggle-cifar10-torch7

  Code for Kaggle-CIFAR10 competition. 5th place.

  Language:Lua24622480

• HIPS/Kayak

  Kayak is a library for automatic differentiation with applications to deep neural networks.

  Language:Python227371632

• RuiShu/nn-bayesian-optimization

  We use a modified neural network instead of Gaussian process for Bayesian optimization.

  Language:Python10712330

• kuz/caffe-with-spearmint

  Automatic Caffe parameter search via Spearmint Bayesian optimisation

  Language:Python96131130

• mechaman/HPOptim

  Use Spearmint via Torch.

  Language:Lua9324

• alexbw/paralleltools

  A summary of parallelizing moderate amounts of work in Python

  Language:Jupyter Notebook420

• bbudescu/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

  Language:Python2200