seba-1511 / randoptLinks
Streamlined machine learning experiment management.
☆107Updated 5 years ago
Alternatives and similar repositories for randopt
Users that are interested in randopt are comparing it to the libraries listed below
Sorting:
- ☆113Updated 2 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- A tiny module for machine learning experiment orchestration☆63Updated 6 years ago
- Optimized Differentiable Neural Computer In Chainer☆23Updated 7 years ago
- 🔥 Cogitare - A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python☆77Updated last year
- Plot TensorBoard graphs fast☆51Updated 4 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 machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout…☆129Updated 2 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆192Updated 2 years ago
- Pure Python dashboard for monitoring deep learning experiments (like TensorBoard for PyTorch/JAX/etc, without a browser)☆95Updated 3 years ago
- ☆10Updated 5 years ago
- Arxiv's ML papers network graph and browser☆80Updated 6 years ago
- TFStage: TensorFlow Project Scaffolding☆62Updated 5 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 5 years ago
- Equi-normalization of Neural Networks☆115Updated 6 years ago
- A pytorch based classification experiments template☆46Updated 4 years ago
- learning to search in pytorch☆110Updated 5 years ago
- ☆52Updated 7 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆35Updated 6 years ago
- Basic experiment framework for tensorflow.☆91Updated 4 years ago
- DeepSuperLearner - Python implementation of the deep ensemble algorithm☆135Updated 7 years ago
- Playing with various deep learning tools and network architectures☆70Updated 7 years ago
- Future Gadget Machine☆68Updated 7 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Updated 7 years ago
- Research code need not be ugly.☆77Updated 2 years ago
- PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.☆37Updated 7 years ago
- Collection of PyTorch-related utility functions☆29Updated 6 years ago