yashkant / pnas-binary-nets
Progressive Neural Architecture Search coupled with Binarized CNNs to search for resource efficient and accurate architectures.
☆3Updated 6 years ago
Alternatives and similar repositories for pnas-binary-nets
Users that are interested in pnas-binary-nets are comparing it to the libraries listed below
Sorting:
- Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.☆5Updated 6 years ago
- Contains code for Binary, Ternary, N-bit Quantized and Hybrid CNNs for low precision experiments.☆24Updated 6 years ago
- ☆20Updated 4 years ago
- Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI☆105Updated 6 years ago
- Pytorch implementation of pyramidnet☆26Updated 7 years ago
- CVPR'17 Spotlight: What’s in a Question: Using Visual Questions as a Form of Supervision☆43Updated 6 years ago
- RP-GAN: Stable GAN Training with Random Projections☆21Updated 6 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 8 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Other than papers from big-name labs and universities, most AI research papers get less than 10 readers, even though there might be gems …☆15Updated 6 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆66Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Some of my experiments targeting adversarial instances☆12Updated 8 years ago
- NIPS Implementation challenge 2017 for "Searching for activation functions" paper by Google Brain☆32Updated 6 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…☆17Updated 5 years ago
- Code and Presentation for PyCon2016☆12Updated 8 years ago
- ☆44Updated 7 years ago
- Nuerapse simulations for SNNs☆24Updated 6 years ago
- ☆37Updated 7 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- Github repo for my experiments with the orthogonal convolution idea☆22Updated 7 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆41Updated 7 years ago
- Generalized Framework for PyTorch☆32Updated 3 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Optimize any PyTorch neural network with Bandit Swarm Networks (BSN)☆8Updated 4 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆10Updated 7 years ago
- Just some experiments on GANs hallucinating data samples for an incremental learner.☆18Updated 7 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago