cjlin1 / simpleNNLinks
☆49Updated 4 years ago
Alternatives and similar repositories for simpleNN
Users that are interested in simpleNN are comparing it to the libraries listed below
Sorting:
- Adaptive Neural Trees☆155Updated 6 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- Feature Interaction Interpretability via Interaction Detection☆35Updated 2 years ago
- Deep Neural Decision Trees☆163Updated 3 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- A modular toolbox for meta-learning research with a focus on speed and reproducibility.☆125Updated 2 years ago
- Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning☆45Updated 6 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆146Updated 2 years ago
- A Course on Mathematical Theories of Deep Learning☆79Updated 4 years ago
- Meta learning framework with Tensorflow 2.0☆118Updated 2 years ago
- Python toolbox for sampling Determinantal Point Processes☆234Updated last year
- a repo sharing Bayesian Neural Network recent papers☆216Updated 6 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆141Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆132Updated 5 years ago
- A smoother activation function (undergrad code)☆115Updated 5 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 6 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 6 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆190Updated 5 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- ☆84Updated 4 years ago
- pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"☆301Updated 6 years ago
- ☆67Updated 6 years ago
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆137Updated 4 years ago
- ☆124Updated 4 years ago
- Convolutional Neural Tangent Kernel☆112Updated 5 years ago
- This is an implementation of Elastic Weight Consolidation algorithm introduced in Overcoming catastrophic forgetting in neural networks.☆63Updated 7 years ago
- Repository for my convex optimization course.☆53Updated 4 years ago
- Sampling via Moment Sharing☆11Updated 10 years ago
- LAnguage Modelling Benchmarks☆138Updated 5 years ago