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github.com/VipaiLab/machine-learning-course
/ types & classes
Types & classes
121 in github.com/VipaiLab/machine-learning-course
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Functions
531
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Types & classes
121
↓ 5 callers
Class
ResNetBasicBlock
code/第四章-深度学习/ResNet/testResNet18.py:13
↓ 4 callers
Class
ConvBn
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:11
↓ 4 callers
Class
ConvBnPrelu
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:24
↓ 4 callers
Class
DepthWise
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:37
↓ 4 callers
Class
_DataSet
Container class for a _DataSet (deprecated). THIS CLASS IS DEPRECATED.
code/第四章-深度学习/LENET/tensorflow/nnMnist/input_data.py:108
↓ 3 callers
Class
FaceMobileNet
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:76
↓ 3 callers
Class
MultiDepthWiseRes
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:62
↓ 3 callers
Class
ResIRSE
Resnet50-IRSE backbone
code/第四章-深度学习/faceRecognitionCASIA/model/resnet.py:69
↓ 3 callers
Class
ResNetDownBlock
code/第四章-深度学习/ResNet/testResNet18.py:29
↓ 2 callers
Class
Darknet
code/第四章-深度学习/YoloV3/darknet.py:167
↓ 2 callers
Class
EmptyLayer
code/第四章-深度学习/YoloV3/darknet.py:53
↓ 2 callers
Class
SVC_Q
Q matrices for various formulations
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1266
↓ 2 callers
Class
SVR_Q
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1362
↓ 2 callers
Class
svm_parameter
code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:225
↓ 1 callers
Class
AlexNet
code/第四章-深度学习/ResNet/testAlexNet.py:10
↓ 1 callers
Class
ArcFace
code/第四章-深度学习/faceRecognitionCASIA/model/metric.py:9
↓ 1 callers
Class
Config
code/第四章-深度学习/faceRecognitionCASIA/config.py:4
↓ 1 callers
Class
CosFace
code/第四章-深度学习/faceRecognitionCASIA/model/metric.py:53
↓ 1 callers
Class
DepthWiseRes
DepthWise with Residual
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:51
↓ 1 callers
Class
DetectionLayer
code/第四章-深度学习/YoloV3/darknet.py:58
↓ 1 callers
Class
Discriminator
code/第四章-深度学习/GAN/trainDCGAN.py:400
↓ 1 callers
Class
Flatten
code/第四章-深度学习/faceRecognitionCASIA/model/fmobilenet.py:7
↓ 1 callers
Class
Flatten
code/第四章-深度学习/faceRecognitionCASIA/model/resnet.py:8
↓ 1 callers
Class
FocalLoss
code/第四章-深度学习/faceRecognitionCASIA/model/loss.py:4
↓ 1 callers
Class
Generator
code/第四章-深度学习/GAN/trainDCGAN.py:326
↓ 1 callers
Class
GridOption
code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:17
↓ 1 callers
Class
IRSE
code/第四章-深度学习/faceRecognitionCASIA/model/resnet.py:46
↓ 1 callers
Class
LeNet
code/第四章-深度学习/ResNet/testLENet.py:9
↓ 1 callers
Class
LeNet
code/第四章-深度学习/LENET/testPytorchLenet/main.py:12
↓ 1 callers
Class
LocalWorker
code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:289
↓ 1 callers
Class
ONE_CLASS_Q
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1316
↓ 1 callers
Class
ONet
code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:251
↓ 1 callers
Class
PNet
code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:216
↓ 1 callers
Class
RNet
code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:232
↓ 1 callers
Class
SEConv
Use Convolution instead of FullyConnection in SE
code/第四章-深度学习/faceRecognitionCASIA/model/resnet.py:13
↓ 1 callers
Class
SSHWorker
code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:297
↓ 1 callers
Class
TelnetWorker
code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:310
↓ 1 callers
Class
svm_problem
code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:174
Class
AppletFrame
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:486
Class
Cache
Kernel Cache l is the number of total data items size is the cache size limit in bytes
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:67
Class
Cache
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:16
Class
Discriminator
code/第四章-深度学习/GAN/testDCGAN.py:54
Class
Generator
code/第四章-深度学习/GAN/testDCGAN.py:21
Class
Kernel
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:202
Class
Kernel
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:136
Class
Network
code/第四章-深度学习/faceDetectionMTCNN/detect_face.py:61
Class
ONE_CLASS_Q
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1190
Class
QMatrix
Kernel evaluation the static method k_function is for doing single kernel evaluation the constructor of Kernel prepares to calculate the l*l kernel m
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:194
Class
QMatrix
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:130
Class
ResNet18
code/第四章-深度学习/ResNet/testResNet18.py:49
Class
SE
code/第四章-深度学习/faceRecognitionCASIA/model/resnet.py:30
Class
SVC_Q
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1148
Class
SVR_Q
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1229
Class
SolutionInfo
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:398
Class
SolutionInfo
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:342
Class
Solver
An SMO algorithm in Fan et al., JMLR 6(2005), p. 1889--1918 Solves: min 0.5(\alpha^T Q \alpha) + p^T \alpha y^T \alpha = \delta y_i = +1 or -1 0 <=
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:393
Class
Solver
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:303
Class
Solver_NU
Solver for nu-svm classification and regression additional constraint: e^T \alpha = constant
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1009
Class
Solver_NU
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:897
Class
SvmToyWindow
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-toy/qt/svm-toy.cpp:25
Class
Worker
code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:244
Class
WorkerStopToken
code/第二章-支持向量机/python/testSVMChess/libsvm-master/tools/grid.py:241
Class
decision_function
decision_function
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1641
Class
decision_function
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1495
Class
face_box
code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/mtcnn.hpp:16
Class
face_box
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/mtcnn.hpp:16
Class
face_landmark
code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/mtcnn.hpp:10
Class
face_landmark
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/mtcnn.hpp:10
Class
head_t
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:81
Class
head_t
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:19
Class
mtcnn
code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/mtcnn.hpp:41
Class
mtcnn
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/mtcnn.hpp:41
Class
mtcnn_factory
code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/mtcnn.hpp:81
Class
mtcnn_factory
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/mtcnn.hpp:81
Class
my_buffer
copied from TF_ManagedBuffer in c_api.cc */
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/main.cc:97
Class
only_for_auto_register
code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/mtcnn.hpp:97
Class
only_for_auto_register
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/mtcnn.hpp:97
Class
point
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/svm_toy.java:32
Class
point
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-toy/windows/svm-toy.cpp:48
Class
point
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-toy/qt/svm-toy.cpp:49
Class
scale_window
code/第四章-深度学习/faceDetectionMTCNN/cpp/standalone/comm_lib.hpp:9
Class
scale_window
code/第四章-深度学习/faceDetectionMTCNN/cpp/tf_embedded/comm_lib.hpp:9
Class
svm
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm.java:1292
Class
svm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-train.c:57
Class
svm_model
svm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.h:52
Class
svm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-predict.c:15
Class
svm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.cpp:1961
Class
svm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:343
Class
svm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm_model.java:5
Class
svm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmtrain.c:58
Class
svm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svmpredict.c:49
Class
svm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svm_model_matlab.h:1
Class
svm_model
code/第二章-支持向量机/python/testSVMChess/libsvm-master/matlab/svm_model_matlab.c:31
Class
svm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-train.c:58
Class
svm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.h:12
Class
svm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.h:22
Class
svm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm.h:57
Class
svm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/svm-predict.c:12
Class
svm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/python/svm.py:63
Class
svm_node
code/第二章-支持向量机/python/testSVMChess/libsvm-master/java/libsvm/svm_node.java:2
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