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

Simplify the training and tuning of Tensorflow models

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

A PyTorch implementation of alpha-GAN

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Seamlessly integrate matplotlib figures as tensorflow summaries.

a lightweight and simple logger for Machine Learning

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Swift high-level API for TensorFlow.

A Toolkit for Training, Tracking, Saving Models and Syncing Results

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Enable TensorBoard for TensorFlow Go API

TensorFlow template application for deep learning

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

A toolset for black-box hyperparameter optimisation.

Machine Learning Operator & Controller for Kubernetes

Aggregate multiple tensorboard runs to new summary or csv files

SRDenseNet-pytorch（ICCV_2017）

A visualization tool to show a TensorFlow's graph like TensorBoard

Using yolo v3 object detection on ios platform.

A language-agnostic interface to TensorBoard

A clean densenet in tensorflow

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

Code for Tensorflow Machine Learning Cookbook

Reimplementation of DenseNet

AI Challenger 2018 农作物病害检测

Gluon to PyTorch deep neural network model converter

Tensorboard extension for jupyterlab.

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

Natural Language Processing with TensorFlow, published by Packt

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

A TensorFlow & Deep Learning online course I taught in 2016

PyTorch Project Specification.

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

用python做计算机视觉，人工智能，机器学习，深度学习等

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

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

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.

采用深度学习方法进行刀具识别。

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

Google Colab tutorial with simple network training and Tensorboard.

Chrome Extension of hiding empty scalar/panes in TensorBoard.

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

MuZero

MXNet implementation for DenseNet

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

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.

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

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

CNN visualization tool in TensorFlow

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

Public reusable components for Polyaxon

🚣 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)