88 Open Source Convolutional Networks Software Projects
Free and open source convolutional networks code projects including engines, APIs, generators, and tools.
Darkflow 5951 ⭐
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Deep Learning V2 Pytorch 4487 ⭐
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Pytorch Unet 4903 ⭐
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Keras Yolo2 1694 ⭐
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).
Pytorch Fcn 1513 ⭐
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Model Compression 1630 ⭐
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
Pytorchinsight 783 ⭐
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
Ucr_time_series_classification_deep_learning_baseline 514 ⭐
Fully Convlutional Neural Networks for state-of-the-art time series classification
Tensorflow Resources 334 ⭐
Curated Tensorflow code resources to help you get started with Deep Learning.
Fire Detection Cnn 424 ⭐
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)
Good Papers 261 ⭐
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
Fcn 215 ⭐
Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Affnet 202 ⭐
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Colorizing With Gans 227 ⭐
Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400
Pytorch Image Classification 493 ⭐
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Tf Adnet Tracking 157 ⭐
Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'
Squeeze_and_excitation 229 ⭐
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
Livianet 153 ⭐
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"
Eye Tracker 156 ⭐
Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"
Deep Learning Specialization Coursera 189 ⭐
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
Temporal Binding Network 87 ⭐
Implementation of "EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition, ICCV, 2019" in PyTorch
Tensorflow Signal Processing 82 ⭐
doing audio digital signal processing in tensorflow to try to recreate digital audio effects
Thtrieu Essence 69 ⭐
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
Semidensenet 52 ⭐
Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.
Cnn Paper2 106 ⭐
:art: :art: 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:art::art: https://dataxujing.github.io/CNN-paper2/
Medicalimagesegmentation 52 ⭐
This repository aims at containing all the code employed at LIVIA to segment medical images. Mainly, our research focuses on bringind the expertise in deep learning and optimization techniques to the medical image analysis domain.
Geniepath Pytorch 87 ⭐
This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)
Bumic Bestofml 39 ⭐
A repository for sharing best of resources for learning the current state of the art in machine learning. Join our Facebook group:
Must Read Papers For Ml 162 ⭐
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Tensorflowhandwritingrecognition 39 ⭐
Using Tensorflow to classify the NIST Dataset 19 (Handwriting)
Mrinmoihossain Deep Learning Specialization Coursera 70 ⭐
Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.
Carnd Semantic Segmentation P2 15 ⭐
Udacity Self-Driving Car Nanodegree - Semantic Segmentation Project
Sdpoint 15 ⭐
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Mrinmoihossain Udacity Deep Learning Nanodegree 37 ⭐
The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.
Machine Learning Doodle Recognition 19 ⭐
A project on making a game like Quick Draw using Machine Learning with Convolutional Neural Network.
Latte 13 ⭐
Latte is a convolutional neural network (CNN) inference engine written in C++ and uses AVX to vectorize operations. The engine runs on Windows 10, Linux and macOS Sierra.
Stringlifier 132 ⭐
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.
Adicherlavenkatasai Ml Workspace 296 ⭐
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
Fusenet Hand Pose 14 ⭐
Implementation of E. Kazakos, C. Nikou, I. A. Kakadiaris. On the Fusion of RGB and Depth Information for Hand Pose Estimation, ICIP, 2018.
Iantaehoonyoo Semantic Segmentation Pytorch 42 ⭐
Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
Auditory Slow Fast 43 ⭐
Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch
Mtracker.github.io 12 ⭐
MTracker is a tool for automatic splining tongue shapes in ultrasound images by harnessing the power of deep convolutional neural networks. It is developed at the Department of Linguistics, University of Michigan to address the need of splining a large-scale ultrasound project.
Ttungl Deep Learning 10 ⭐
Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and Recurrent Neural Networks (RNNs) for text and sequences with Long Short-Term Memory (LSTM) networks.