holly2723

holly2723

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scikit-learn-mooc

Machine learning in Python with scikit-learn MOOC

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RADAR_Project

Implementing 2D-FFT on a mixed signal, then applying CFAR Algorithm on the resultant signal.

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SFND_Radar_Detection

Generating a FMCW waveform and implementing 2D-CFAR to filter a Range Doppler Response map

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deep-soli

Gesture Recognition Using Neural Networks with Google's Project Soli Sensor

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vision

Datasets, Transforms and Models specific to Computer Vision

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SignalGraph

Matlab-based deep learning toolkit that supports arbitrary directed acyclic graphs (DAG). Support DNN, LSTM, CNN layers and many signal processing layers. Include recipes/examples of using the tool for various tasks.

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RNN_MATLAB

this is a matlab toolbox of deep learning about sequences learning, object-oriented,including rnn, lstm and encoder decoder(sequences to sequences) etc.GPU version is available

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VAD

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

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LSTM-MATLAB

LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is accompanied with a paper for reference: Revisit Long Short-Term Memory: An Optimization Perspective, NIPS deep learning workshop, 2014.

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AdvBayesLearnCourse

Course material for the PhD course Advanced Bayesian Learning at Linköping University

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vadam

Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, Gal, and Srivastava

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bayesian-reasoning-machine-learning

Code and notes for "Bayesian Reasoning and Machine Learning

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BayesianNetworkExample

Example of Bayesian Network using BNT

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vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

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BGCS

Bayesian Group-sparse Compressed Sensing Toolbox (FG 2015)

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BayespRF

Bayesian pRF toolbox for SPM

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bssml

Bayesian (Semi-)Supervised Multilabel Learning

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bcs

Bayesian Compressive Sensing and Multi-task Compressive Sensing

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thesis

my PhD thesis on Bayesian inference

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bayesian2afc

Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.

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bayesian_inversion

A collection of algorithms used in Bayesian Statistics and particularly in Bayesian Inverse Problems. This repository also contains some further material, like an incomplete short review on Bayesian Inverse Problems and Slides concerning BIPs.

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bads

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

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BSID

Bayesian System IDentification

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BayesianML-MCMC

Bayesian Model Inference using MCMC

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MatlabDBN

Dynamic Bayesian Network

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Probabilistic-Graphical-Models

Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.

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ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

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