Zemmero

U-Net-Fixed-Point-Quantization-for-Medical-Image-Segmentation

Repository containing code for "U-Net Fixed-Point Quantization for Medical Image Segmentation" paper at MICCAI2019

Semantic-Segmentation-BiSeNet

Keras BiseNet architecture implementation

BiSeNet-Implementation

Here is a tutorial on how to implement a research Paper with Keras

bisenet-tensorflow

A re-implement of bisenet by tensorflow

pysystemtrade

Systematic Trading in python

Futures

Futures trading database/backtester/analysis

efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

cityscapesScripts

README and scripts for the Cityscapes Dataset

swiftnet

Fast-SCNN

Implementation of Fast-SCNN using Tensorflow 2.0

FD-MobileNet

This repo contains code for *FD-MobileNet: Improved MobileNet with A Fast Downsampling Strategy*.

Deep-K-Means-pytorch

[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

Tensorflow-quantization-test

Tensorflow quantization (float32-->int8) inference test

ApesNet

A Convolutional Neural Network for semantic segmentation of traffic.

Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

TensorFlow-ENet

TensorFlow implementation of ENet

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Fine_Grained_Classification

Fined grained classification On Car dataset

keras-applications

Reference implementations of popular deep learning models.

TFSegmentation

RTSeg: Real-time Semantic Segmentation Comparative Study

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

Car-Recognition

Car Recognition with Deep Learning

installTensorFlowTX2

Install TensorFlow on the NVIDIA Jetson TX2 Development Kit

keras-contrib

Keras community contributions

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

u-net-segmentation-example

An example Jupyter notebook for image segmentation using U-Net and Brine

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

deeplab_retrain_ade20k_colab

Colaboratory (Jupyter) notebook to retrain model for semantic segmentation in Deeplab, Tensorflow. Initial model is MobileNet or Xception with ADE20K dataset. Derived from Tensorflow official demo.

PSPNet-TF-Reproduce

Training PSPNet in Tensorflow. Reproduce the performance from the paper.

fast-semantic-segmentation

ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation