SparseRegression.jlStatistical Models with Regularization in Pure Julia
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scadenDeep Learning based cell composition analysis with Scaden.
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tulipScaleable input gradient regularization
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DistillerNeural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
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PenaltyFunctions.jlJulia package of regularization functions for machine learning
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Regularization-Pruning[ICLR'21] PyTorch code for our paper "Neural Pruning via Growing Regularization"
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sparsebnSoftware for learning sparse Bayesian networks
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deep-learning-notes🧠👨💻Deep Learning Specialization • Lecture Notes • Lab Assignments
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hyperstarHyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.
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FSCNMFAn implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
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DeeplearningPython for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
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directDeep learning framework for MRI reconstruction
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mixupspeechpro.com/
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Statistical-Learning-using-RThis is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
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traj-pred-irlOfficial implementation codes of "Regularizing neural networks for future trajectory prediction via IRL framework"
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SSE-PTCodes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"
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pyowlOrdered Weighted L1 regularization for classification and regression in Python
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GlobalBioImA unifying Matlab framework for the development of reconstruction algorithms (solving inverse problems) in computational imaging
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CNN-DICOM-SegmentationDICOM Image Segmentation with CNNs in Tensorflow
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