65 Open source projects that are alternatives of or similar to Keras Fcn

Curated Tensorflow code resources to help you get started with Deep Learning.

📚 记录一些自己读过的论文与笔记

doing audio digital signal processing in tensorflow to try to recreate digital audio effects

U-Net: Convolutional Networks for Biomedical Image Segmentation

Implementation details for EDANet

Paper Lists for Graph Neural Networks

Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18

High-quality Neural Networks for Computer Vision 😎

Paper Lists for Graph Neural Networks

Learning Based Calibrated Photometric Stereo for Non-Lambertian Surface (ECCV 2018)

Fully Convlutional Neural Networks for state-of-the-art time series classification

Implementation of "EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition, ICCV, 2019" in PyTorch

Reference caffe implementation of LSUV initialization

Keras tutorial for beginners (using TF backend)

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Outdated, see new https://github.com/braindecode/braindecode

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

Image colorization using CNNs in tensorflow

Convolutional (Patch) Networks for Semantic Segmentation

Self driving car in GTAV with Deep Learning

CNN visualization tool in TensorFlow

A self driving toy car using end-to-end learning

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

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

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

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

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

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)

Repository has been moved: https://github.com/adobe/antialiased-cnns

Differentiable architecture search for convolutional and recurrent networks

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

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

Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"

Make pytorch and tensorflow two become one.

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Simple implementation of the LSUV initialization in keras

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

Introduction to deep learning with Tensorflow.

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

Image Captioning: Implementing the Neural Image Caption Generator with python

TensorFlow implementation of DispNet by Zhijian Jiang.

Image Deblurring using Generative Adversarial Networks

Simple implementation of the LSUV initialization in PyTorch

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

No description or website provided.

Object classification with CIFAR-10 using transfer learning

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

Naszilla is a Python library for neural architecture search (NAS)

Spatial Pyramid Network for Optical Flow

A convolutional neural network from scratch

Evaluation of the CNN design choices performance on ImageNet-2012.