Object LocalizationObject localization in images using simple CNNs and Keras
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Tf Pose EstimationDeep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
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Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
Stars: ✭ 85 (-6.59%)
Mk TfjsPlay MK.js with TensorFlow.js
Stars: ✭ 133 (+46.15%)
Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
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Mobilenet V2 Repository for "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation".
Stars: ✭ 73 (-19.78%)
Ssds pytorchMultiple basenet MobileNet v1,v2, ResNet combined with SSD detection method and it's variants such as RFB, FSSD etc.
Stars: ✭ 71 (-21.98%)
Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
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GtsrbConvolutional Neural Network for German Traffic Sign Recognition Benchmark
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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 (-2.2%)
DltkDeep Learning Toolkit for Medical Image Analysis
Stars: ✭ 1,249 (+1272.53%)
Sentiment analysis albertsentiment analysis、文本分类、ALBERT、TextCNN、classification、tensorflow、BERT、CNN、text classification
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Sentiment 2017 ImavisFrom Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction
Stars: ✭ 85 (-6.59%)
Ensemble Methods For Image ClassificationIn this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.
Stars: ✭ 67 (-26.37%)
CfsrcnnCoarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)
Stars: ✭ 84 (-7.69%)
FogflowFogFlow is a standard-based IoT fog computing framework that supports serverless computing and edge computing with advanced programming models
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Ai ThermometerFever screening with IR & RGB cameras and Deep CNNs
Stars: ✭ 60 (-34.07%)
Recursive CnnsImplementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
Stars: ✭ 80 (-12.09%)
Nlp overviewOverview of Modern Deep Learning Techniques Applied to Natural Language Processing
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Cnn FixationsVisualising predictions of deep neural networks
Stars: ✭ 87 (-4.4%)
Dispnet Flownet DockerDockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)
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One Pixel Attack KerasKeras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
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Awesome System For Machine LearningA curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
Stars: ✭ 1,185 (+1202.2%)
ChannelnetsTensorflow Implementation of ChannelNets (NeurIPS 18)
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Tensorflow Cifar 10Cifar-10 CNN implementation using TensorFlow library with 20% error.
Stars: ✭ 85 (-6.59%)
DeepzipNN based lossless compression
Stars: ✭ 69 (-24.18%)
Single Human Parsing LipPSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.
Stars: ✭ 84 (-7.69%)
SleepeegnetSleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Stars: ✭ 89 (-2.2%)
BsconvReference implementation for Blueprint Separable Convolutions (CVPR 2020)
Stars: ✭ 84 (-7.69%)
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 (-29.67%)
Image Quality AssessmentConvolutional Neural Networks to predict the aesthetic and technical quality of images.
Stars: ✭ 1,300 (+1328.57%)
People Counter PythonCreate a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
Stars: ✭ 62 (-31.87%)
SeganA PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
Stars: ✭ 82 (-9.89%)
Embedded gcnnEmbedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
Stars: ✭ 60 (-34.07%)
Deblurgan TfUnofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
Stars: ✭ 60 (-34.07%)
Mobilenet CaffeCaffe Implementation of Google's MobileNets (v1 and v2)
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Haddoc2Caffe to VHDL
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Snail PytorchImplementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
Stars: ✭ 90 (-1.1%)
Pcn NcnnPCN based on ncnn framework.
Stars: ✭ 78 (-14.29%)
EdgemlThis repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Stars: ✭ 1,093 (+1101.1%)
Lstm Context EmbeddingsAugmenting word embeddings with their surrounding context using bidirectional RNN
Stars: ✭ 57 (-37.36%)
PytorchPyTorch tutorials A to Z
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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 (-15.38%)
Convisualize nbVisualisations for Convolutional Neural Networks in Pytorch
Stars: ✭ 57 (-37.36%)
Meme GeneratorMemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.
Stars: ✭ 57 (-37.36%)
Coreml TrainingSource code for my blog post series "On-device training with Core ML"
Stars: ✭ 77 (-15.38%)