376 Open source projects that are alternatives of or similar to Efficientnet Pytorch

Sandbox for training deep learning networks

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

73.6% GhostNet 1.0x pre-trained model on ImageNet

Compare neural networks by their feature similarity

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Classification models trained on ImageNet. Keras.

ImageNet pre-trained models with batch normalization for the Caffe framework

Easily train or fine-tune SOTA computer vision models with one open source training library

Segmentation models with pretrained backbones. PyTorch.

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Unsupervised Feature Learning via Non-parametric Instance Discrimination

BERT for Multitask Learning

A light-weight, power efficient, and general purpose convolutional neural network

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

🔥 Reproducibly benchmarking Keras and PyTorch models

Real-time pose estimation accelerated with NVIDIA TensorRT

DeltaPy - Tabular Data Augmentation (by @firmai)

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Features selector based on the self selected-algorithm, loss function and validation method

Highly comparative time-series analysis

MobileNetV3 in pytorch and ImageNet pretrained models

OpenMMLab Image Classification Toolbox and Benchmark

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Friendly machine learning for the web! 🤖

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Natural Language Processing Best Practices & Examples

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

Label Studio is a multi-type data labeling and annotation tool with standardized output format

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

This repo contains implementation of different architectures for emotion recognition in conversations.

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

Machine Learning library for the web and Node.

[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

Unofficial PyTorch Reimplementation of RandAugment.

PyTorch and Tensorflow functional model definitions

高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

Medical image processing in Python

A Harder ImageNet Test Set (CVPR 2021)

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Novoic's audio feature extraction library

Train the HRNet model on ImageNet

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Corruption and Perturbation Robustness (ICLR 2019)

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)