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

mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

image-classifiers

Classification models trained on ImageNet. Keras.

wespeakerruntime

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

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

cellfinder-core

Standalone cellfinder cell detection algorithm

cellfinder-napari

Efficient cell detection in large images using cellfinder in napari

maldideepkit

Catalog of sklearn-compatible deep learning classifiers for MALDI-TOF binned spectra

pylocron

PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix

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.

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.

numpy-ml

Machine learning, in numpy

wespeaker-unofficial

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

jai

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

bsconv

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

timm-ctp

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

flaxmodels

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

tensornets

High level network definitions with pre-trained weights in TensorFlow

datatap

Focus on Algorithm Design, Not on Data Wrangling