varunranga / zorb-numpyLinks
ZORB: A Derivative-Free Backpropagation Algorithm for Neural Networks
☆22Updated 4 years ago
Alternatives and similar repositories for zorb-numpy
Users that are interested in zorb-numpy are comparing it to the libraries listed below
Sorting:
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆50Updated 3 months ago
- ☆50Updated 4 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆90Updated 3 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 4 years ago
- Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent☆14Updated 5 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- ☆42Updated 5 years ago
- codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"☆49Updated 2 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆14Updated 5 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆137Updated 5 years ago
- ☆71Updated 5 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆63Updated 4 years ago
- Evolution Strategy Library☆55Updated 5 years ago
- Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…☆17Updated 6 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 5 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- An implementation of 2021 paper by Geoffrey Hinton: "How to represent part-whole hierarchies in a neural network" in Pytorch.☆57Updated 4 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- ☆45Updated 5 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 7 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago