aichitudou's repositories
squeezeDet_deep_compression
apply deep compression to squeezeDet
shufflenet
car classification
squeezenet_deep_compression
with caffe code
darknetv2_car_detection
only car detection, including validation and code getting ap and anchors
yolo_weight_extractor
coming from https://github.com/gliese581gg/YOLO_tensorflow
yolo_tensorflow_car
car detection using yolo_tensorflow
car_detection_yolov1_tiny_yolo
using tiny yolo of yolov1to detect car
squeezeDet
A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.
DeepCompression
implementation of Iterative Pruning for Deep neural network [Han2015].
SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
vod-converter
Convert between visual object detection datasets
generative-adversarial-networks
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
MyCaffeCode
base caffe usage
MyTensorflowCode
我自己的一些基础tensorflow代码
caffe-tensorflow
Caffe models in TensorFlow
MachineLearning
Basic Machine Learning and Deep Learning
R-FCN
R-FCN: Object Detection via Region-based Fully Convolutional Networks
facenet
Face recognition using Tensorflow
openface
Face recognition with deep neural networks.
DMTK
Microsoft Distributed Machine Learning Toolkit
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
real_time_face_recognition
Real time face detection and recognition base on opencv/tensorflow/mtcnn/facenet
Face-Detecion-with-the-Faster-R-CNN-R-FCN
Face detection with the Faster-R-CNN or R-FCN
caffe_tiny5
Caffe tutorial for train own data and predict using python
dml
MLib, Involved with: TopicModel、LR、GBDT、TimeSeries、Word[Doc] Embedding，etc
tensorflow
Computation using data flow graphs for scalable machine learning
caffe-segnet
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
caffe
Caffe: a fast open framework for deep learning.