wassname / viz_torch_optim
Videos of deep learning optimizers moving on 3D problem-landscapes
☆108Updated 6 months ago
Alternatives and similar repositories for viz_torch_optim:
Users that are interested in viz_torch_optim are comparing it to the libraries listed below
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Cleaned original source code from my NIPS publication☆154Updated 7 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 7 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 5 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆141Updated 6 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆96Updated 7 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 6 years ago
- Implementation of Adversarial Autoencoder with Theano☆40Updated 8 years ago
- a lightweight and simple logger for Machine Learning☆127Updated 4 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆143Updated 5 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 5 years ago
- A new kind of pooling layer for faster and sharper convergence☆76Updated 7 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆148Updated 7 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 6 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆109Updated 7 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆125Updated 7 years ago
- Code for Attentive Recurrent Comparators☆57Updated 7 years ago
- ☆53Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆96Updated 7 years ago
- Reference caffe implementation of LSUV initialization☆112Updated 7 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer☆54Updated 6 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Support powerful visual logging in PyTorch.☆102Updated 7 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆138Updated 7 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆76Updated 7 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆80Updated 7 years ago