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

A playable implementation of Fully Convolutional Networks with Keras.

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

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

PyTorch implementation of several SSD based object detection algorithms.

Simple implementation of the LSUV initialization in keras

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

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)

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).

TensorFlow implementation of DispNet by Zhijian Jiang.

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

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.

Make pytorch and tensorflow two become one.

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

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

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.

Image Deblurring using Generative Adversarial Networks

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

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

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

Object classification with CIFAR-10 using transfer learning

Differentiable architecture search for convolutional and recurrent networks

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

Simple implementation of the LSUV initialization in PyTorch

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

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

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

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

U-Net: Convolutional Networks for Biomedical Image Segmentation

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

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

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

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

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

📚 记录一些自己读过的论文与笔记

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

Keras tutorial for beginners (using TF backend)

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

Spatial Pyramid Network for Optical Flow

CNN visualization tool in TensorFlow

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"

Paper Lists for Graph Neural Networks

High-quality Neural Networks for Computer Vision 😎

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

Convolutional (Patch) Networks for Semantic Segmentation

Image colorization using CNNs in tensorflow

A convolutional neural network from scratch

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

Reference caffe implementation of LSUV initialization

Implementation details for EDANet

Paper Lists for Graph Neural Networks

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

Self driving car in GTAV with Deep Learning

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

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

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

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

No description or website provided.