AttentionnAll about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
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battery-rul-estimationRemaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
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Speech Recognition Neural NetworkThis is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
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Gluon TsProbabilistic time series modeling in Python
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RnnsharpRNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
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Image CaptioningImage Captioning using InceptionV3 and beam search
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ParaphraserSentence paraphrase generation at the sentence level
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Adaptive AlertingAnomaly detection for streaming time series, featuring automated model selection.
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ProbabilityProbabilistic reasoning and statistical analysis in TensorFlow
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Cs231Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
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ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
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AsapASAP: Prioritizing Attention via Time Series Smoothing
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Kitnet PyKitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
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Machine learning basicsPlain python implementations of basic machine learning algorithms
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Tbd NetsPyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"
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KrakenOCR engine for all the languages
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Handwriting GenerationImplementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).
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Stock Prediction ModelsGathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
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Predictive Maintenance Using LstmExample of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
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Sktime Dlsktime companion package for deep learning based on TensorFlow
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Flow ForecastDeep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
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Pytorch 101 Tutorial SeriesPyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
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VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
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TfvosSemi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.
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Maml JaxImplementation of Model-Agnostic Meta-Learning (MAML) in Jax
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JaxnetConcise deep learning for JAX
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TaTechnical Analysis Library using Pandas and Numpy
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LibraErgonomic machine learning for everyone.
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WorkshopsWorkshops organized to introduce students to security, AI, AR/VR, hardware and software
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IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
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Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
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Dive Into Dl Pytorch本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
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Dl CourseDeep Learning with Catalyst
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Tensorflow2 Crash CourseA quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
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ShapA game theoretic approach to explain the output of any machine learning model.
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Machine LearningMachine learning library written in readable python code
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Blog postsBlog posts for matatat.org
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Machine Learning Is All You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
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NotesContains Example Programs and Notebooks for some courses at Bogazici University, Department of Computer Engineering
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VietocrTransformer OCR
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NeuralnetsDeep Learning libraries tested on images and time series
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RnnvisA visualization tool for understanding and debugging RNNs
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Mpld3mpld3 provides a custom stand-alone javascript library built on D3, which
parses JSON representations of plots. The mpld3 python module provides a
set of routines which parses matplotlib plots (using the
mplexporter framework) and outputs
the JSON description readable by mpld3.js.
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