floringogianu / paper-notebooksLinks
A collection of notebooks aiding the understanding of machine-learning papers.
☆10Updated 4 years ago
Alternatives and similar repositories for paper-notebooks
Users that are interested in paper-notebooks are comparing it to the libraries listed below
Sorting:
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- ☆45Updated 5 years ago
- Models built with TensorFlow☆25Updated 6 years ago
- Research code need not be ugly.☆77Updated last year
- Plot TensorBoard graphs fast☆51Updated 3 years ago
- ☆10Updated 5 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Reinforcement learning algorithm implementations and ML experimentation workspace☆43Updated 6 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆60Updated 5 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆10Updated 7 years ago
- Generative Latent Attentive Sampler☆26Updated 8 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Optimized Differentiable Neural Computer In Chainer☆23Updated 7 years ago
- Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando☆31Updated 7 years ago
- ☆42Updated 5 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- learning to search in pytorch☆110Updated 5 years ago
- ☆48Updated 5 years ago
- Deep RL Bootcamp solutions☆35Updated 7 years ago
- A lightweight library for tensorflow 2.0☆66Updated 5 years ago
- Pure Python dashboard for monitoring deep learning experiments (like TensorBoard for PyTorch/JAX/etc, without a browser)☆95Updated 3 years ago
- Experiments with differentiable stacks and queues in PyTorch☆142Updated 5 years ago
- presentations☆44Updated 6 years ago
- A tiny module for machine learning experiment orchestration☆63Updated 5 years ago
- Collection of tutorials, exercises and papers on RL☆17Updated 7 years ago
- ☆26Updated 6 years ago
- 2019 talk at GECCO☆68Updated 6 years ago
- L4: Practical loss-based stepsize adaptation for PyTorch☆18Updated 4 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 6 years ago