7789 Open source projects that are alternatives of or similar to Caffenet Benchmark

CORe50: a new Dataset and Benchmark for Continual Learning

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

A MNIST-like fashion product database. Benchmark 👇

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

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

A new test set for ImageNet

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Reference caffe implementation of LSUV initialization

Object classification with CIFAR-10 using transfer learning

A benchmark dataset for data-driven weather forecasting

Keras tutorial for beginners (using TF backend)

A repository of pretty cool datasets that I collected for network science and machine learning research.

Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development

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

Transportation Networks for Research

Repository for most of the code from my YouTube channel

Profile and monitor your ML data pipeline end-to-end

The PatchCamelyon (PCam) deep learning classification benchmark.

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Curso de Data Science em Português

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

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Unofficial PyTorch Reimplementation of RandAugment.

Outdated, see new https://github.com/braindecode/braindecode

[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection

Keras- Multi Label Image Classification

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

Convolutional neural networks for artistic style transfer.

Dataset to assess the disentanglement properties of unsupervised learning methods

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Joint Detection and Identification Feature Learning for Person Search

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

A python package to access tsetmc data

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Face landmarks(fiducial points) detection benchmark

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

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

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Dataset of images of trash; Torch-based CNN for garbage image classification

A driving dataset for the development and validation of fused pose estimators and mapping algorithms

Deep networks for Earth Observation

food image to recipe with deep convolutional neural networks.

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

Corruption and Perturbation Robustness (ICLR 2019)

Vehicle detection using YOLO in Keras runs at 21FPS

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Efficient Learning of Augmentation Policy Schedules