- handle to outliers in the data
- select the most important features which were used in the machine learning.
- train rnn
- and other tools for machine-learning , Ongoing update...
hanggeai Goto Github PK
Type: User
hanggeai's Projects
calculation-chart-of-classic-two-layer-net
calculation chart of classic two-layer-net,including forward & backward process.
hangge_learn
This program is writen by hanggeai,which is uesd to handle to outliers in the data and select the most important features which were used in the machine learning.
image-trans
remake the label , legend , title , ticks of the science plots
life
Life is a library for reinforce learning implemented by PyTorch.
machine-learing-with-numpy
Implement machine learning algorithm based on numpy
numpy-neural-network
use numpy to create a neural network
pytorch-csv2train_loader
this code aims to read csv and then transform it to the data format that pytorch recepts.
rl-for-super-mario
play super mario with rl algorithms , like dqn , ppo
rl-pong
play atari pong with reinforce algorithm with pytorch.
semantic-segmentation-based-on-fcn-resnet101
Semantic segmentation based on FCN-ResNet101, which was pretrained, so it's convenient and precise.
spyders-with-python
spyders with python,using requests, beautiful soup, selenium and my own tools.
target-detection-based-on-torch-and-torchvision
target detection based on torch and torchvision, 使用基于COCO数据集进行训练的、具有ResNet-50-FPN结构的Fast-R-CNN网络模型，进行图像的目标检测
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