wassname / viz_torch_optimLinks
Videos of deep learning optimizers moving on 3D problem-landscapes
☆107Updated last year
Alternatives and similar repositories for viz_torch_optim
Users that are interested in viz_torch_optim are comparing it to the libraries listed below
Sorting:
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 6 years ago
- A new kind of pooling layer for faster and sharper convergence☆76Updated 8 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆145Updated 6 years ago
- Cleaned original source code from my NIPS publication☆158Updated 8 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆123Updated 8 years ago
- a lightweight and simple logger for Machine Learning☆127Updated 5 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆60Updated 8 years ago
- ☆113Updated 2 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆95Updated 7 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 8 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- Accelerate Neural Net Training by Progressively Freezing Layers☆212Updated 7 years ago
- Forward Thinking NIPS 2017☆107Updated 7 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆78Updated 8 years ago
- PyTorch based Deep Learning Toolbox☆206Updated 7 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 8 years ago
- boundary-seeking generative adversarial networks☆46Updated 8 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆121Updated 8 years ago
- ☆79Updated 7 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.☆109Updated 6 years ago
- Some example scripts on pytorch☆197Updated 4 years ago
- Support powerful visual logging in PyTorch.☆104Updated 8 years ago
- personal notes☆55Updated 8 years ago
- A web based demo of Google's sg2im neural network to convert a scene graph to a photorealistic image.☆35Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- A set of simple examples ported from PyTorch for Tensorflow Eager Execution☆73Updated 7 years ago