Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
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VgnDeep Vessel Segmentation by Learning Graphical Connectivity
Stars: ✭ 46 (-45.88%)
Ai ThermometerFever screening with IR & RGB cameras and Deep CNNs
Stars: ✭ 60 (-29.41%)
Text nnText classification models. Used a submodule for other projects.
Stars: ✭ 55 (-35.29%)
Monodepth360Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs.
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GtsrbConvolutional Neural Network for German Traffic Sign Recognition Benchmark
Stars: ✭ 65 (-23.53%)
EyevisAndroid based Vocal Vision for Visually Impaired. Object Detection, Voice Assistance, Optical Character Reader, Read Aloud, Face Recognition, Landmark Recognition, Image Labelling etc.
Stars: ✭ 48 (-43.53%)
MirrorMatchable Image Retrieval by Learning from Surface Reconstruction
Stars: ✭ 44 (-48.24%)
Nlp overviewOverview of Modern Deep Learning Techniques Applied to Natural Language Processing
Stars: ✭ 1,104 (+1198.82%)
Data Science Bowl 2018End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle
Stars: ✭ 56 (-34.12%)
NewsapiNews API without any API KEY
Stars: ✭ 39 (-54.12%)
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 (-21.18%)
Image captioninggenerate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
Stars: ✭ 51 (-40%)
Pcn NcnnPCN based on ncnn framework.
Stars: ✭ 78 (-8.24%)
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 (-24.71%)
Keras SincnetKeras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)
Stars: ✭ 47 (-44.71%)
DltkDeep Learning Toolkit for Medical Image Analysis
Stars: ✭ 1,249 (+1369.41%)
Cortex M KwsCortex M KWS example with Tengine Lite.
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Neural Style本代码加入了神经风格迁移中文注释,更易理解,同时新加入begin.py可直接运行调试。
Stars: ✭ 42 (-50.59%)
One Pixel Attack KerasKeras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Stars: ✭ 1,097 (+1190.59%)
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 (-32.94%)
Mc Cnn Pythona python implementation of MC-CNN
Stars: ✭ 38 (-55.29%)
DeepzipNN based lossless compression
Stars: ✭ 69 (-18.82%)
DsbdLarge-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks
Stars: ✭ 54 (-36.47%)
Dispnet Flownet DockerDockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)
Stars: ✭ 78 (-8.24%)
Text Analytics With PythonLearn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Stars: ✭ 1,132 (+1231.76%)
Gait RecognitionDistance Recognition of a Human Being with Deep CNN's
Stars: ✭ 51 (-40%)
CfsrcnnCoarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)
Stars: ✭ 84 (-1.18%)
DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
Stars: ✭ 49 (-42.35%)
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 (-9.41%)
StocksightStock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Stars: ✭ 1,037 (+1120%)
Sentiment analysis albertsentiment analysis、文本分类、ALBERT、TextCNN、classification、tensorflow、BERT、CNN、text classification
Stars: ✭ 61 (-28.24%)
DvdnetDVDnet: A Simple and Fast Network for Deep Video Denoising
Stars: ✭ 47 (-44.71%)
Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
Stars: ✭ 85 (+0%)
Embedded gcnnEmbedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
Stars: ✭ 60 (-29.41%)
Svhn CnnGoogle Street View House Number(SVHN) Dataset, and classifying them through CNN
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Deblurgan TfUnofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
Stars: ✭ 60 (-29.41%)
YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
Stars: ✭ 41 (-51.76%)
SeganA PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
Stars: ✭ 82 (-3.53%)
Dialectid e2eEnd to End Dialect Identification using Convolutional Neural Network
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Haddoc2Caffe to VHDL
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QanetA Tensorflow implementation of QANet for machine reading comprehension
Stars: ✭ 996 (+1071.76%)
Lstm Context EmbeddingsAugmenting word embeddings with their surrounding context using bidirectional RNN
Stars: ✭ 57 (-32.94%)
Tensorflow Cifar 10Cifar-10 CNN implementation using TensorFlow library with 20% error.
Stars: ✭ 85 (+0%)
Single Human Parsing LipPSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.
Stars: ✭ 84 (-1.18%)
Recursive CnnsImplementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
Stars: ✭ 80 (-5.88%)
Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
Stars: ✭ 68 (-20%)
Convisualize nbVisualisations for Convolutional Neural Networks in Pytorch
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