oval-group / mloggerLinks
a lightweight and simple logger for Machine Learning
☆127Updated 5 years ago
Alternatives and similar repositories for mlogger
Users that are interested in mlogger are comparing it to the libraries listed below
Sorting:
- A utility library around PyTorch☆244Updated 2 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
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Tools for PyTorch☆223Updated 3 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆239Updated 6 years ago
- Cleaned original source code from my NIPS publication☆158Updated 8 years ago
- auto-tuning momentum SGD optimizer☆288Updated 6 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
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆60Updated 8 years ago
- Python bindings for pyNVML and psutil library over network☆51Updated last year
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 8 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆111Updated 3 years ago
- Support powerful visual logging in PyTorch.☆103Updated 8 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 8 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Deep Dashboard: Machine Learning Training Visualizer☆45Updated 8 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆95Updated 7 years ago
- ☆113Updated 2 years ago
- Accelerate Neural Net Training by Progressively Freezing Layers☆211Updated 7 years ago
- Code for Attentive Recurrent Comparators☆58Updated 8 years ago
- Forward Thinking NIPS 2017☆107Updated 7 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆81Updated 8 years ago
- ☆79Updated 7 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapes☆107Updated last year
- Efficient layer normalization GPU kernel for Tensorflow☆110Updated 8 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆145Updated 6 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