Data Science Bowl 2018End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle
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PytorchPyTorch tutorials A to Z
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Text nnText classification models. Used a submodule for other projects.
Stars: ✭ 55 (-96.45%)
Keras Oneclassanomalydetection[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.
Stars: ✭ 102 (-93.42%)
Image captioninggenerate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
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Sentiment 2017 ImavisFrom Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction
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Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
Stars: ✭ 49 (-96.84%)
Hyperopt Keras Cnn Cifar 100Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Stars: ✭ 95 (-93.87%)
Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
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EyevisAndroid based Vocal Vision for Visually Impaired. Object Detection, Voice Assistance, Optical Character Reader, Read Aloud, Face Recognition, Landmark Recognition, Image Labelling etc.
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Self Driving CarA End to End CNN Model which predicts the steering wheel angle based on the video/image
Stars: ✭ 106 (-93.16%)
DvdnetDVDnet: A Simple and Fast Network for Deep Video Denoising
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CfsrcnnCoarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)
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Svhn CnnGoogle Street View House Number(SVHN) Dataset, and classifying them through CNN
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SeganA PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
Stars: ✭ 82 (-94.71%)
LesrcnnLightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)
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YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
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Dispnet Flownet DockerDockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)
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Dialectid e2eEnd to End Dialect Identification using Convolutional Neural Network
Stars: ✭ 40 (-97.42%)
Libgdl一个移动端跨平台的gpu+cpu并行计算的cnn框架(A mobile-side cross-platform gpu+cpu parallel computing CNN framework)
Stars: ✭ 91 (-94.13%)
QanetA Tensorflow implementation of QANet for machine reading comprehension
Stars: ✭ 996 (-35.7%)
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🎨🎨 https://dataxujing.github.io/CNN-paper2/
Stars: ✭ 77 (-95.03%)
Mc Cnn Pythona python implementation of MC-CNN
Stars: ✭ 38 (-97.55%)
Awesome Deep Learning ResourcesRough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
Stars: ✭ 1,469 (-5.16%)
Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
Stars: ✭ 1,297 (-16.27%)
DeepmodelsTensorFlow Implementation of state-of-the-art models since 2012
Stars: ✭ 33 (-97.87%)
SarcasmdetectionSarcasm detection on tweets using neural network
Stars: ✭ 99 (-93.61%)
SmsopCode for Statistically-motivated Second-order Pooling, ECCV2018
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DeepzipNN based lossless compression
Stars: ✭ 69 (-95.55%)
Qa RankitQA - Answer Selection (Rank candidate answers for a given question)
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GtsrbConvolutional Neural Network for German Traffic Sign Recognition Benchmark
Stars: ✭ 65 (-95.8%)
Mxnet IrImage Retrieval Experiment Using Triplet Loss
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ModelsDLTK Model Zoo
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Neural Image CaptioningImplementation of Neural Image Captioning model using Keras with Theano backend
Stars: ✭ 12 (-99.23%)
Deeplearning Nlp ModelsA small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
Stars: ✭ 64 (-95.87%)
Attention OcrA Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
Stars: ✭ 844 (-45.51%)
PalmnetSource code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"
Stars: ✭ 25 (-98.39%)
Ai ThermometerFever screening with IR & RGB cameras and Deep CNNs
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Min nlp practiceChinese & English Cws Pos Ner Entity Recognition implement using CNN bi-directional lstm and crf model with char embedding.基于字向量的CNN池化双向BiLSTM与CRF模型的网络,可能一体化的完成中文和英文分词,词性标注,实体识别。主要包括原始文本数据,数据转换,训练脚本,预训练模型,可用于序列标注研究.注意:唯一需要实现的逻辑是将用户数据转化为序列模型。分词准确率约为93%,词性标注准确率约为90%,实体标注(在本样本上)约为85%。
Stars: ✭ 107 (-93.09%)
CaptcharecognitionEnd-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别
Stars: ✭ 97 (-93.74%)
Wb color augmenterWB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
Stars: ✭ 89 (-94.25%)
Haddoc2Caffe to VHDL
Stars: ✭ 57 (-96.32%)