201419 / Optimizer-PyTorchLinks
Package of Optimizer implemented with PyTorch .
☆66Updated 5 years ago
Alternatives and similar repositories for Optimizer-PyTorch
Users that are interested in Optimizer-PyTorch are comparing it to the libraries listed below
Sorting:
- ☆84Updated 4 years ago
- Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization☆183Updated 3 years ago
- dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers☆161Updated 2 years ago
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆146Updated 3 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
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- 人工智能和机器学习领域的国际顶级会议NeurIPS论文收集☆101Updated 5 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆60Updated 5 years ago
- PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.☆284Updated 3 years ago
- ☆154Updated 5 years ago
- Pytorch Implementation of the Stacked Capsule Autoencoders☆107Updated 4 years ago
- Unofficial implementation of Switching from Adam to SGD optimization in PyTorch.☆66Updated 2 years ago
- ☆26Updated 4 years ago
- ☆40Updated 2 years ago
- Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"☆95Updated 4 years ago
- Comprehensive and precise reviews of advance AI subfields.☆56Updated 4 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆178Updated 3 years ago
- Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆409Updated 11 months ago
- ☆40Updated last year
- [ICML 2022, Oral] The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our paper: "Adaptive Inertia: Dise…☆150Updated 2 years ago
- Pytorch implementation of TRP☆45Updated 4 years ago
- Bayesian Optimization Hyperband Hyperparameter Optimization☆38Updated 4 years ago
- Learning Sparse Neural Networks through L0 regularization☆245Updated 5 years ago
- Teaches a student network from the knowledge obtained via training of a larger teacher network☆158Updated 7 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 4 years ago
- my blog☆55Updated 5 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- A PyTorch implementation of NASBench☆52Updated 2 years ago
- AdaX: Adaptive Gradient Descent with Exponential Long Term Momery☆34Updated 5 years ago
- PyTorch port of "Efficient Neural Architecture Search via Parameters Sharing"☆53Updated 7 years ago