69 Open source projects that are alternatives of or similar to LSUV-pytorch

Simple implementation of the LSUV initialization in keras

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).

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

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

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

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

A playable implementation of Fully Convolutional Networks with Keras.

Differentiable architecture search for convolutional and recurrent networks

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/

Image Deblurring using Generative Adversarial Networks

Image Captioning: Implementing the Neural Image Caption Generator with python

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

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

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

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

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

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)

Object classification with CIFAR-10 using transfer learning

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

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

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

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

Introduction to deep learning with Tensorflow.

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

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

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

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

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

Spatial Pyramid Network for Optical Flow

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

Class Normalization for Continual Zero-Shot Learning

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"

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

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

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

High-quality Neural Networks for Computer Vision 😎

U-Net: Convolutional Networks for Biomedical Image Segmentation

No description or website provided.

Keras tutorial for beginners (using TF backend)

Convolutional (Patch) Networks for Semantic Segmentation

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

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

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

A convolutional neural network from scratch

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

Reference caffe implementation of LSUV initialization

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

📚 记录一些自己读过的论文与笔记

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

Paper Lists for Graph Neural Networks

Self driving car in GTAV with Deep Learning

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

PyTorch implementation of several SSD based object detection algorithms.

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

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.