IBM / mi-prometheus
Enabling reproducible Machine Learning research
☆42Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for mi-prometheus
- TargetProp for RNNs☆28Updated 5 years ago
- Research code need not be ugly.☆77Updated last year
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆66Updated 10 years ago
- ☆61Updated last year
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆12Updated 7 months ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 3 years ago
- ☆45Updated 5 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 6 years ago
- Nuerapse simulations for SNNs☆24Updated 6 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated last year
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Berg - Run GPU-backed experiments on gcloud☆26Updated 5 years ago
- An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods - EWRL Workshop 2018☆15Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 5 years ago
- Proceedings of ICML 2019☆33Updated last year
- Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'☆21Updated 5 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 6 years ago
- ☆17Updated 6 years ago
- ☆32Updated 6 years ago
- ☆35Updated 5 years ago
- Parameterized fit and prediction harnesses for pytorch☆39Updated 4 years ago
- Statistical adaptive stochastic optimization methods☆32Updated 4 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 6 years ago
- Notes from ICLR 2019☆24Updated 5 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Updated 7 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- A vision network trained via large-scale multi-task self-supervised learning☆67Updated 6 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆41Updated 5 years ago