DejaLus / DjLuLinks
DjLu (pronounced DéjàLu, with a French accent) is a simple and free tool to organize research papers.
☆57Updated 5 years ago
Alternatives and similar repositories for DjLu
Users that are interested in DjLu are comparing it to the libraries listed below
Sorting:
- Research code need not be ugly.☆77Updated last year
- learning to search in pytorch☆110Updated 5 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 6 years ago
- a light weight experiment reproducibility toolset☆40Updated 4 years ago
- Future Gadget Machine☆68Updated 7 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 7 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Browser extension to redirect pages based on rules. Intended to stop the browser following links straight to the PDF of a paper, but inst…☆155Updated 11 months ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 7 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆185Updated last year
- Streamlined machine learning experiment management.☆107Updated 5 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- AI-ON Consciousness Prior☆92Updated 7 years ago
- Python bindings for pyNVML and psutil library over network☆51Updated last year
- Interactively retrieve data from sacred experiments.☆82Updated 3 weeks ago
- The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.☆45Updated last year
- ☆32Updated 7 years ago
- A high-level framework for advanced deep learning with TensorFlow☆54Updated 7 years ago
- LaTeX template and custom commands☆59Updated 5 years ago
- An expressive shorthand to describe a deep learning architecture☆73Updated 6 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆107Updated 2 years ago
- Learning RNN Hierarchies☆44Updated 8 years ago
- Scrapes the abstracts to NIPS 2017 papers.☆40Updated 7 years ago
- Generative Latent Attentive Sampler☆26Updated 8 years ago
- ☆153Updated 5 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 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
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Basic experiment framework for tensorflow.☆92Updated 3 years ago