Resnet Python Packages

timm

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

pretrainedmodels

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

mmcls

OpenMMLab Pre-training Toolbox and Benchmark

resnest

ResNeSt: Split-Attention Networks

image-classifiers

Classification models trained on ImageNet. Keras.

mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

segmentation-models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

sparsezoo

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

wespeakerruntime

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

cellfinder-core

Standalone cellfinder cell detection algorithm

deeptab

DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

numpy-ml

Machine learning, in numpy

flaxmodels

Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.

image-classification-jax

Image classification in JAX with ViT, resnet, cifar10, cifar100, imagenette, and imagenet

tvmodels

Pytorch implementation of vision models.

xtreme-vision

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

mambular

DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

bsconv

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

cellfinder-napari

Efficient cell detection in large images using cellfinder in napari

mindcv

A toolbox of vision models and algorithms based on MindSpore.

jai

A LEGO-style PyTorch-based Deep Learning Library for ConvNets Modeling

jax-resnet

Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

pytorch2keras

PyTorch to Keras model convertor