lmnt-com / hasteLinks
Haste: a fast, simple, and open RNN library
☆332Updated 2 years ago
Alternatives and similar repositories for haste
Users that are interested in haste are comparing it to the libraries listed below
Sorting:
- Automatic differentiation with weighted finite-state transducers.☆455Updated 3 years ago
- Automatic differentiation with weighted finite-state transducers.☆127Updated 3 years ago
- Fast Block Sparse Matrices for Pytorch☆548Updated 4 years ago
- DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight …☆236Updated 2 years ago
- [Prototype] Tools for the concurrent manipulation of variably sized Tensors.☆251Updated 2 years ago
- A Fast Sequence Transducer Implementation with PyTorch Bindings☆198Updated 2 years ago
- Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)☆267Updated 5 years ago
- Applications using the GTN library and code to reproduce experiments in "Differentiable Weighted Finite-State Transducers"☆84Updated 3 years ago
- Efficient, check-pointed data loading for deep learning with massive data sets.☆208Updated 2 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆329Updated 3 years ago
- Asynchronous Distributed Hyperparameter Optimization.☆300Updated 6 months ago
- Configuration classes enabling type-safe PyTorch configuration for Hydra apps☆221Updated 2 years ago
- Adaptive Gradient Clipping☆137Updated 2 years ago
- Make TFRecord Usable Again☆88Updated 2 years ago
- ☆153Updated 5 years ago
- Configure Python functions explicitly and safely☆126Updated 8 months ago
- The RWTH extensible training framework for universal recurrent neural networks☆367Updated this week
- Pytorch Lightning Distributed Accelerators using Ray☆213Updated last year
- Example python package with pybind11 cpp extension☆57Updated 4 years ago
- Keras implementation of Legendre Memory Units☆215Updated last month
- HMMs in PyTorch☆139Updated 4 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆324Updated 2 years ago
- ☆163Updated 2 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆376Updated 4 years ago
- Gradient based Hyperparameter Tuning library in PyTorch☆290Updated 5 years ago
- Training Transformer-XL on 128 GPUs☆140Updated 5 years ago
- Fast PyTorch based DSP for audio and 1D signals☆446Updated 5 months ago
- Fast, general, and tested differentiable structured prediction in PyTorch☆1,113Updated 3 years ago
- Fully featured implementation of Routing Transformer☆297Updated 3 years ago
- Online Normalization for Training Neural Networks (Companion Repository)☆83Updated 4 years ago