pytorch_tabular
Tabular data framework
A deep learning framework specifically designed for tabular data, providing a standardized approach to modeling and deploying complex machine learning models.
A standard framework for modelling Deep Learning Models for tabular data
1k stars
21 watching
141 forks
Language: Python
last commit: 3 months ago
Linked from 1 awesome list
deep-learninghacktoberfestmachine-learningpytorchpytorch-lightningtabular-data
academic/awesome-datascienceRelated projects:
| Repository | Description | Stars |
|---|---|---|
 pyg-team/pytorch-frame | A deep learning framework for handling heterogeneous tabular data with diverse column types | 582 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
 eduardoleao052/js-pytorch | A JavaScript library that provides GPU-accelerated deep learning capabilities with automatic differentiation and neural network layers. | 1,093 |
 dmarnerides/pydlt | A PyTorch-based toolbox for building and training deep learning models with ease. | 204 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 pytorch/data | Provides scalable, performant data loading solutions and utilities to be shared by PyTorch domain libraries | 1,149 |
 ctallec/pyvarinf | A Python package facilitating Bayesian Deep Learning methods with Variational Inference for PyTorch | 359 |
 shenzebang/federated-learning-pytorch | A PyTorch-based framework for Federated Learning experiments | 40 |
 zijundeng/pytorch-semantic-segmentation | Provides PyTorch implementations of various models and pipelines for semantic segmentation in deep learning. | 1,729 |
 erotemic/netharn | A PyTorch framework for managing and automating deep learning training loops with features like hyperparameter tracking and single-file deployments. | 40 |
 jingweiz/pytorch-rl | A comprehensive project that provides an implementation of deep reinforcement learning algorithms using PyTorch and Visdom. | 798 |
 tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
 donnyyou/pytorchcv | A PyTorch-based framework for building and training deep learning models in computer vision. | 47 |
 baguasys/bagua | A framework for accelerating PyTorch deep learning training | 876 |
 dmmiller612/sparktorch | A PyTorch implementation on Apache Spark for distributed deep learning model training and inference. | 339 |