Neural Image CaptioningImplementation of Neural Image Captioning model using Keras with Theano backend
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Attentive Neural Processesimplementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
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Gaze EstimationA deep learning based gaze estimation framework implemented with PyTorch
Stars: ✭ 33 (-84.79%)
Teacher Student TrainingThis repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
Stars: ✭ 34 (-84.33%)
Svhn CnnGoogle Street View House Number(SVHN) Dataset, and classifying them through CNN
Stars: ✭ 44 (-79.72%)
Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-80.65%)
Mckinsey Smartcities Traffic PredictionAdventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
Stars: ✭ 49 (-77.42%)
Anime4kA High-Quality Real Time Upscaler for Anime Video
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MishOfficial Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
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Tensorflow Lstm SinTensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
Stars: ✭ 52 (-76.04%)
AttentionnAll about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
Stars: ✭ 175 (-19.35%)
Cnn Re TfConvolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow
Stars: ✭ 190 (-12.44%)
Py Style Transfer🎨 Artistic neural style transfer with tweaks (pytorch).
Stars: ✭ 23 (-89.4%)
GtsrbConvolutional Neural Network for German Traffic Sign Recognition Benchmark
Stars: ✭ 65 (-70.05%)
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 (-70.51%)
DltkDeep Learning Toolkit for Medical Image Analysis
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Embedded gcnnEmbedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
Stars: ✭ 60 (-72.35%)
Bitcoin Value Predictor[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin
Stars: ✭ 91 (-58.06%)
BtctradingTime Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
Stars: ✭ 99 (-54.38%)
Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
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RadioRadIO is a library for data science research of computed tomography imaging
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ModelsDLTK Model Zoo
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Pyncov 19Pyncov-19: Learn and predict the spread of COVID-19
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A Nice McCode for "A-NICE-MC: Adversarial Training for MCMC"
Stars: ✭ 115 (-47%)
AutoencodersImplementation of simple autoencoders networks with Keras
Stars: ✭ 123 (-43.32%)
TsmoothieA python library for time-series smoothing and outlier detection in a vectorized way.
Stars: ✭ 109 (-49.77%)
Pytorch Model ZooA collection of deep learning models implemented in PyTorch
Stars: ✭ 125 (-42.4%)
HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Stars: ✭ 124 (-42.86%)
Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Stars: ✭ 134 (-38.25%)
SweepExtending broom for time series forecasting
Stars: ✭ 143 (-34.1%)
LacmusLacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
Stars: ✭ 142 (-34.56%)
100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
Stars: ✭ 146 (-32.72%)
Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (-35.94%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+976.96%)
Gluon TsProbabilistic time series modeling in Python
Stars: ✭ 2,373 (+993.55%)
Self Driving CarA End to End CNN Model which predicts the steering wheel angle based on the video/image
Stars: ✭ 106 (-51.15%)
Shape Detection🟣 Object detection of abstract shapes with neural networks
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FixyAmacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.
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Keraspp코딩셰프의 3분 딥러닝, 케라스맛
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Screenshot To CodeA neural network that transforms a design mock-up into a static website.
Stars: ✭ 13,561 (+6149.31%)
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
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Tensorflow TutorialSome interesting TensorFlow tutorials for beginners.
Stars: ✭ 893 (+311.52%)
PytorchnlpbookCode and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
Stars: ✭ 1,390 (+540.55%)
Dgc NetA PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"
Stars: ✭ 159 (-26.73%)
Deep Learning NotesMy personal notes, presentations, and notebooks on everything Deep Learning.
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