pytorch_fft
FFT transformer
Provides an efficient wrapper around CUDA FFTs for PyTorch transformations
PyTorch wrapper for FFTs
315 stars
9 watching
47 forks
Language: Python
last commit: almost 7 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| | Implementation of a transformer-based translation model in PyTorch | 240 |
| | Fast Fourier transform implementation in MicroPython for embedded systems | 79 |
| | An implementation of QANet with PyTorch for text classification tasks | 345 |
| | PyTorch implementation of a Factorization Machine module | 173 |
| | Provides Python wrappers for PyTorch and Lua, enabling developers to use PyTorch's deep learning capabilities from both languages. | 432 |
| | Implementing OpenAI's transformer language model in PyTorch with pre-trained weights and fine-tuning capabilities | 1,511 |
| | An implementation of transformer models in PyTorch for natural language processing tasks | 1,257 |
| | An implementation of Reformer, an efficient Transformer model for natural language processing tasks. | 2,132 |
| | A PyTorch module that adds differentiable optimization as a layer to neural networks | 517 |
| | A PyTorch implementation of FCN for semantic segmentation with an easy-to-use interface and pre-trained models. | 161 |
| | Converts PyTorch models to their Torch equivalents. | 541 |
| | An implementation of the GPT-2 language model in PyTorch for generating text | 976 |
| | Trains PyTorch models using a genetic algorithm | 96 |
| | Enables the creation of custom C++ extensions with CUDA support in PyTorch | 1,031 |
| | A collection of tools and utilities for building and training neural networks with PyTorch. | 1,669 |