Pinned Repositories
3D_Reconstruction_from_Commodity_RGB-D_Cameras
This project is to do 3D reconstruction from RGBD input of robots
Betting_Against_Beta
An empirical test of a strategy in the stock investment
Classification_and_Reconstruction_of_Cifar_10
Classify and Reconstruct Cifar-10 images using ResNet and Generative Models
CS224N
Stanford CS224N Natural Language Processing with Deep Learning
CS61A
UC Berkeley CS61A The Structure and Interpretation of Computer Programs
CS61B
UC Berkeley CS61B Data Structrues
Idiosyncratic_Cash_Flow_Factor
A factor in the stock investment
Mask_RCNN_on_YCB_Benchmarks
Use RGB pictures of the YCB Object Set to train a Mask RCNN model
Mask_RCNN_on_YCB_Video_Dataset
Use images of the YCB Video Dataset to train a Mask RCNN model
Medical_Image_Processing
Process medical images using machine learning techniques
iyezhiyu's Repositories
iyezhiyu/Mask_RCNN_on_YCB_Video_Dataset
Use images of the YCB Video Dataset to train a Mask RCNN model
iyezhiyu/3D_Reconstruction_from_Commodity_RGB-D_Cameras
This project is to do 3D reconstruction from RGBD input of robots
iyezhiyu/Betting_Against_Beta
An empirical test of a strategy in the stock investment
iyezhiyu/Classification_and_Reconstruction_of_Cifar_10
Classify and Reconstruct Cifar-10 images using ResNet and Generative Models
iyezhiyu/CS224N
Stanford CS224N Natural Language Processing with Deep Learning
iyezhiyu/CS61A
UC Berkeley CS61A The Structure and Interpretation of Computer Programs
iyezhiyu/CS61B
UC Berkeley CS61B Data Structrues
iyezhiyu/Idiosyncratic_Cash_Flow_Factor
A factor in the stock investment
iyezhiyu/Mask_RCNN_on_YCB_Benchmarks
Use RGB pictures of the YCB Object Set to train a Mask RCNN model
iyezhiyu/Medical_Image_Processing
Process medical images using machine learning techniques
iyezhiyu/MNIST_Digit_Recognition_and_Reconstruction
Digit recognition and reconstruction tasks of MNIST
iyezhiyu/Robotics
The practical part of the CO333 Robotics course of Imperial College London
iyezhiyu/SpatialEmbeddings
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth