drasmuss / hessianfree
Hessian-free optimization for deep networks
☆60Updated 7 years ago
Alternatives and similar repositories for hessianfree:
Users that are interested in hessianfree are comparing it to the libraries listed below
- ☆76Updated 8 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- An implementation of the Hessian-free optimization algorithm in Theano☆61Updated 13 years ago
- ☆45Updated 9 years ago
- Efficient layer normalization GPU kernel for Tensorflow☆111Updated 8 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 7 years ago
- An interface between Torch and Matlab☆30Updated 9 years ago
- ☆89Updated 8 years ago
- Cluttered MNIST Dataset☆51Updated 10 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆206Updated 9 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- ☆92Updated 7 years ago
- ACDC: A Structured Efficient Linear Layer☆43Updated 9 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 8 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Code and models from the paper "Layer Normalization"☆247Updated 8 years ago
- Unsupervised learning of visual concepts from video☆56Updated 8 years ago
- Bidirectional Helmholtz Machines☆40Updated 9 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- ☆78Updated 9 years ago
- Efficient implementation of Generative Stochastic Networks☆317Updated 9 years ago
- Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.☆90Updated 8 years ago
- easy embeddable Torch7 networks☆35Updated 8 years ago
- Working Theano implementation of Pixel RNN on MNIST.☆76Updated 8 years ago
- Gradient-based optimization algorithms in Python☆49Updated 6 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆106Updated 2 years ago