ValentinFigue / Sklearn_PyTorchLinks
Transposition in PyTorch to Sklearn models such as Random Forest or SVM
☆56Updated 5 years ago
Alternatives and similar repositories for Sklearn_PyTorch
Users that are interested in Sklearn_PyTorch are comparing it to the libraries listed below
Sorting:
- Experimenting with different regression losses. Implemented in Pytorch.☆147Updated 6 years ago
- Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.☆169Updated 5 months ago
- Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.☆127Updated last week
- Train PyTorch Models using the Genetic Algorithm with PyGAD☆98Updated 11 months ago
- Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning☆163Updated last year
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆146Updated 4 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆138Updated 5 months ago
- Support Vector Machine (SVM) library for Python with GPU☆30Updated 7 years ago
- 🎲 Iterable dataset resampling in PyTorch☆91Updated 3 years ago
- Pytorch implementation of a Self-Organizing Map☆88Updated 6 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 4 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆92Updated 2 years ago
- Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms☆259Updated 4 years ago
- Adaptive Gradient Clipping☆144Updated 2 years ago
- Autoencoders in PyTorch