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deep-learning-notes🧠👨💻Deep Learning Specialization • Lecture Notes • Lab Assignments
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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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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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AMP-RegularizerCode for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
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FSCNMFAn implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
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tulipScaleable input gradient regularization
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mixupspeechpro.com/
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Regularization-Pruning[ICLR'21] PyTorch code for our paper "Neural Pruning via Growing Regularization"
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consistencyImplementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
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AI Learning HubAI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
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L0LearnEfficient Algorithms for L0 Regularized Learning
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pyunfoldIterative unfolding for Python
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pyowlOrdered Weighted L1 regularization for classification and regression in Python
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sparsebnSoftware for learning sparse Bayesian networks
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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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hyperstarHyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.
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