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Lungchi Xue's Projects

active_learning_coreset icon active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

audio-snr icon audio-snr

Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

cbir icon cbir

Content Based Image Retrieval System

cs129-18-face-detection icon cs129-18-face-detection

:chicken: An face-detection platform based on Gabor filters, with classifications done via ANN and Naive Bayes.

ctc-asr icon ctc-asr

End-to-end trained speech recognition system, based on RNNs and the connectionist temporal classification (CTC) cost function.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepspeech icon deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

deepxi icon deepxi

Deep Xi: A Deep Learning Approach to A Priori SNR Estimation. Used for Speech Enhancement and robust ASR.

end-to-end-asr-pytorch icon end-to-end-asr-pytorch

This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.

end2endasr icon end2endasr

implement end-to-end asr algorithm with tensorflow

face-detection icon face-detection

本科毕业设计 基于Haar特征与AdaBoost算法的人脸检测的实现

image_class icon image_class

基于keras集成多种图像分类模型: VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet

inferencehelper icon inferencehelper

C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow

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