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Top 66 convolutional-networks open source projects

Good Papers
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
Ssd Variants
PyTorch implementation of several SSD based object detection algorithms.
Ml Workspace
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Colorizing With Gans
Grayscale Image Colorization with Generative Adversarial Networks.
Keras Fcn
A playable implementation of Fully Convolutional Networks with Keras.
Squeeze and excitation
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Antialiased Cnns
Repository has been moved:
Tf Adnet Tracking
Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'
Spatial Pyramid Network for Optical Flow
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
Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"
Keras Yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at (not on Windows).
Convolutional (Patch) Networks for Semantic Segmentation
Reference caffe implementation of LSUV initialization
Pytorch Fcn
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Awesome Graph Neural Networks
Paper Lists for Graph Neural 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.
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
Cnn Paper2
🎨 🎨 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🎨🎨
Tensorflow Signal Processing
doing audio digital signal processing in tensorflow to try to recreate digital audio effects
Geniepath Pytorch
This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (
Ps Fcn
Learning Based Calibrated Photometric Stereo for Non-Lambertian Surface (ECCV 2018)
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
Ucr time series classification deep learning baseline
Fully Convlutional Neural Networks for state-of-the-art time series classification
Deep Learning V2 Pytorch
Projects and exercises for the latest Deep Learning ND program
U Net
U-Net: Convolutional Networks for Biomedical Image Segmentation
Fire Detection Cnn
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)
Outdated, see new
Pytorch Image Classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18
Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch
Paper Note
📚 记录一些自己读过的论文与笔记
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.
TensorFlow implementation of DispNet by Zhijian Jiang.
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