144 Open source projects that are alternatives of or similar to densenet

Reimplementation of DenseNet

The open and extensible integrated development environment (IDE) for computer vision with built-in modules for model building, automated labeling, data processing, model training, hyperparameter tuning and workflow orchestration.

AI Challenger 2018 农作物病害检测

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Gluon to PyTorch deep neural network model converter

Tensorflow Faster RCNN for Object Detection

Tensorboard extension for jupyterlab.

CNN-RNN中文文本分类，基于TensorFlow

A list of popular deep learning models related to classification, segmentation and detection problems

📈 TensorFlow + Matplotlib as TF ops

Natural Language Processing with TensorFlow, published by Packt

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

A TensorFlow & Deep Learning online course I taught in 2016

Study and implementation about deep learning models, architectures, applications and frameworks

PyTorch Project Specification.

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Weakly Supervised Learning for Findings Detection in Medical Images

用python做计算机视觉，人工智能，机器学习，深度学习等

Accelerate Neural Net Training by Progressively Freezing Layers

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

A complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.

PeleeNet: An efficient DenseNet architecture for mobile devices

采用深度学习方法进行刀具识别。

基于卷积神经网络的语音识别声学模型的研究

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

ASR with PyTorch

Google Colab tutorial with simple network training and Tensorboard.

3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)

Chrome Extension of hiding empty scalar/panes in TensorBoard.

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

基于深度学习识别12306验证码

MuZero

This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen, and Gang Sun) module, written in Pytorch, train, and eval codes have been released.

MXNet implementation for DenseNet

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

Classification models trained on ImageNet. Keras.

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

Play deep learning with CIFAR datasets

A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

CNN visualization tool in TensorFlow

A PyTorch implementation of DenseNet.

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

Code for Tensorflow Machine Learning Cookbook

🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow

A collection of deep learning models (PyTorch implemtation)

FLOR: Fast Low-Overhead Recovery. FLOR lets you log ML training data post-hoc, with hindsight.

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.