nearai / torchfoldLinks
Tools for PyTorch
☆222Updated 3 years ago
Alternatives and similar repositories for torchfold
Users that are interested in torchfold are comparing it to the libraries listed below
Sorting:
- auto-tuning momentum SGD optimizer☆288Updated 6 years ago
- Cleaned original source code from my NIPS publication☆157Updated 7 years ago
- ☆79Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Pytorch implementation of DeepMind's differentiable neural computer paper.☆93Updated 7 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆120Updated 8 years ago
- 🏃 Implementation of Using Fast Weights to Attend to the Recent Past.☆269Updated 6 years ago
- Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom☆276Updated 7 years ago
- Code Samples from Neural Networks for NLP☆72Updated 7 years ago
- a lightweight and simple logger for Machine Learning☆127Updated 4 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 8 years ago
- Code and models from the paper "Layer Normalization"☆244Updated 8 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆238Updated 6 years ago
- Torch Containers simplified in PyTorch☆89Updated 8 years ago
- Structured Prediction Energy Networks in Torch☆132Updated 8 years ago
- Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.☆484Updated 3 years ago
- supercell☆192Updated 8 years ago
- ☆56Updated 7 years ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆144Updated 2 years ago
- Support powerful visual logging in PyTorch.☆103Updated 8 years ago
- This's an implementation of deepmind Visual Interaction Networks paper using pytorch☆165Updated 7 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆60Updated 8 years ago
- learning to search in pytorch☆110Updated 5 years ago
- Experiments with differentiable stacks and queues in PyTorch☆144Updated 6 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- ☆92Updated 8 years ago
- Efficient layer normalization GPU kernel for Tensorflow☆110Updated 8 years ago
- ☆64Updated 8 years ago
- for learning reinforcement learning using PyTorch.☆64Updated 6 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆146Updated 6 years ago