hawl666 Goto Github PK

amazon-forest-computer-vision

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

apollo

An open autonomous driving platform

asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

black-box-audio

Targeted Adversarial Examples for Black Box Audio Systems

caffe_face_attribute_classification

multi-task learning method for face attributes learning

captcharecognition

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

ccdl

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

cpp-pytorch

A bite of cpp api in PyTorch-1.0

crypten

A framework for Privacy Preserving Machine Learning

ctu-chb_physionet.org

Data analysis of CTU-CHB Intrapartum Cardiotocography Database v1.0.0 physionet.org database: https://physionet.org/content/ctu-uhb-ctgdb/1.0.0/

deep-residual-networks

Deep Residual Learning for Image Recognition

easy-lab

Look at Boundary: A Boundary-Aware Face Alignment Algorithm

efficient-pytorch

My best practice of training large dataset using PyTorch.

efficientdet.pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

fhrma

A dataset and a matlab toolbox for morphological analysis of Fetal Heart Rate signal

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

kaldi

This is the official location of the Kaldi project.

kur

Descriptive Deep Learning

lac

百度NLP：分词，词性标注，命名实体识别

learnpython

Python的基础练习代码与各种爬虫代码

mnist_png

MNIST converted to PNG format

mobilenet-mxnet

mobilenet-mxnet

mobilenetv3

mobilenetv3 with pytorch，provide pre-train model

mtcnn

mtcnn-caffe

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

mtcnn-on-caffe-window

MTCNN Train project based on caffe-windows

mtf-crnn

Inspired by the convolutional recurrent neural network(CRNN) and inception, we propose a multiscale time-frequency convolutional recurrent neural network (MTF-CRNN) for audio event detection. Our goal is to improve audio event detection performance and recognize target audio events that have different lengths and accompany the complex audio background. We exploit multi-groups of parallel and serial convolutional kernels to learn high-level shift invariant features from the time and frequency domains of acoustic samples. A two-layer bi-direction gated recurrent unit) based on the recurrent neural network is used to capture the temporal context from the extracted high-level features. The proposed method is evaluated on the DCASE2017 challenge dataset. Compared to other methods, the MTF-CRNN achieves one of the best test performances for a single model without pre-training and without using a multi-model ensemble approach.

mx-maskrcnn

An MXNet implementation of Mask R-CNN