donlan2710 / gRDA-OptimizerLinks
☆39Updated 2 years ago
Alternatives and similar repositories for gRDA-Optimizer
Users that are interested in gRDA-Optimizer are comparing it to the libraries listed below
Sorting:
- Learning Sparse Neural Networks through L0 regularization☆248Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 5 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆149Updated 4 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆57Updated 4 years ago
- ☆55Updated 6 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆49Updated 6 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 4 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆39Updated 8 years ago
- A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"☆30Updated 7 years ago
- pytorch implementation of Structured Bayesian Pruning☆19Updated 7 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 6 years ago
- CP and Tucker decomposition for Convolutional Neural Networks☆87Updated 7 years ago
- Pytorch implementation of TRP☆44Updated 5 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 6 years ago
- Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017☆31Updated 7 years ago
- Package of Optimizer implemented with PyTorch .☆65Updated 5 years ago
- Mixture of experts layers for Keras☆94Updated 7 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆25Updated 6 years ago
- Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search☆16Updated last year
- Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"☆64Updated 2 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆41Updated 8 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Updated 5 years ago
- [ICLR 2021] "UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems" by Jiayi Shen, Haotao Wang*, Shupeng Gui…☆39Updated 4 years ago
- A PyTorch implementation of Ranking Distillation☆90Updated 5 years ago
- PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.☆288Updated 4 years ago
- ☆37Updated 3 years ago
- dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers☆169Updated 2 years ago
- ☆77Updated 6 years ago