YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
Stars: ✭ 41 (-92.23%)
Pytorch Image ClassificationTutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Stars: ✭ 272 (-48.48%)
Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
Stars: ✭ 68 (-87.12%)
Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
Stars: ✭ 448 (-15.15%)
Convisualize nbVisualisations for Convolutional Neural Networks in Pytorch
Stars: ✭ 57 (-89.2%)
Svhn CnnGoogle Street View House Number(SVHN) Dataset, and classifying them through CNN
Stars: ✭ 44 (-91.67%)
Self Driving CarA End to End CNN Model which predicts the steering wheel angle based on the video/image
Stars: ✭ 106 (-79.92%)
GtsrbConvolutional Neural Network for German Traffic Sign Recognition Benchmark
Stars: ✭ 65 (-87.69%)
Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (-73.67%)
TutorialTutorial covering Open Source tools for Source Separation.
Stars: ✭ 223 (-57.77%)
DeeppicarDeep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
Stars: ✭ 242 (-54.17%)
Dlpython courseПримеры для курса "Программирование глубоких нейронных сетей на Python"
Stars: ✭ 266 (-49.62%)
MozartAn optical music recognition (OMR) system. Converts sheet music to a machine-readable version.
Stars: ✭ 241 (-54.36%)
Image CaptioningImage Captioning using InceptionV3 and beam search
Stars: ✭ 290 (-45.08%)
Triplet AttentionOfficial PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Stars: ✭ 222 (-57.95%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+507.77%)
Grad Cam Tensorflowtensorflow implementation of Grad-CAM (CNN visualization)
Stars: ✭ 261 (-50.57%)
Stanford Cs231Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
Stars: ✭ 249 (-52.84%)
TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Stars: ✭ 217 (-58.9%)
DinoruntutorialAccompanying code for Paperspace tutorial "Build an AI to play Dino Run"
Stars: ✭ 285 (-46.02%)
Pytorch SrganA modern PyTorch implementation of SRGAN
Stars: ✭ 289 (-45.27%)
ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Stars: ✭ 3,307 (+526.33%)
Recsys项亮的《推荐系统实践》的代码实现
Stars: ✭ 306 (-42.05%)
Resnetcam KerasKeras implementation of a ResNet-CAM model
Stars: ✭ 269 (-49.05%)
ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
Stars: ✭ 326 (-38.26%)
Ios 10 SamplerCode examples for new APIs of iOS 10.
Stars: ✭ 3,341 (+532.77%)
TfwssWeakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Stars: ✭ 212 (-59.85%)
Pytorch SaltnetKaggle | 9th place single model solution for TGS Salt Identification Challenge
Stars: ✭ 270 (-48.86%)
Cs231Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 317 (-39.96%)
Personality DetectionImplementation of a hierarchical CNN based model to detect Big Five personality traits
Stars: ✭ 338 (-35.98%)
Fast PytorchPytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Stars: ✭ 346 (-34.47%)
Espnetv2A light-weight, power efficient, and general purpose convolutional neural network
Stars: ✭ 377 (-28.6%)
T81 558 deep learningWashington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Stars: ✭ 4,152 (+686.36%)
RmdlRMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (-28.98%)
Labml🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Stars: ✭ 508 (-3.79%)
DeeplogoA brand logo detection system using tensorflow object detection API.
Stars: ✭ 388 (-26.52%)
NmtpytorchSequence-to-Sequence Framework in PyTorch
Stars: ✭ 392 (-25.76%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (-34.66%)
Pytorch classification利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Stars: ✭ 395 (-25.19%)