clouddesert's Stars
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
microsoft/STL
MSVC's implementation of the C++ Standard Library.
datawhalechina/easy-rl
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
kuangliu/pytorch-cifar
95.47% on CIFAR10 with PyTorch
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
shuhuai007/Machine-Learning-Session
zhoubolei/introRL
Intro to Reinforcement Learning (强化学习纲要)
tigerneil/awesome-deep-rl
For deep RL and the future of AI.
robbertliu/deeplearning.ai-andrewNG
deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
fregu856/deeplabv3
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
Freemanzxp/GBDT_Simple_Tutorial
python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees
Andy-zhujunwen/UNET-ZOO
including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.
rishikksh20/ResUnet
Pytorch implementation of ResUnet and ResUnet ++
liudragonfly/GBDT
A simple GBDT in Python
TommyZihao/zihaoopencv
zihao's tutorial of opencv-python
gasparian/multiclass-semantic-segmentation
Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]
chencodeX/RNN_Pytorch
Using the Pytorch to build an image temporal prediction model of the encoder-forecaster structure, ConvGRU kernel & ConvLSTM kernel
tychovdo/MovingMNIST
Moving MNIST as PyTorch Dataset
France1/unet-multiclass-pytorch
Multiclass semantic segmentation using U-Net architecture combined with strong image augmentation
231sm/Reasoning_In_EE
Code and datasets for the ACL 2021 paper "OntoED: Low-resource Event Detection with Ontology Embedding"
Flionay/segmentation-learning-experiment
基于Pytorch框架的语义分割学习,FCN,UNet,DeepLab 基于VOC数据集。
zzd1992/GBDTMO
Gradient boosted decision trees for multiple outputs. Better generalization ability, faster training and inference.
lastproxy/Basic_PredRNN_Seq2seq
从Convlstm2D的基础上改编: https://github.com/ndrplz/ConvLSTM_pytorch 可用于雷达回波等短临预报领域,采用模仿Dr.SXJ的Seq2seq结构.
congxin95/PA-CRF
The code of "Few-Shot Event Detection with Prototypical Amortized Conditional Random Field", Findings of ACL 2021
ChessWarrior/pred-rain
qihang-dai/ConvLSTM-on-TIANCHI-CIKM-2017
Convolutional LSTM CNN for Rain predication. Customzied for CIKM2017 dataset
interestudy/tutorail
zhaojinxi/tianchi
BTFKM/CMCC_fake_user_generator
没鸟用的中国移动虚拟用户生成框架, 本例中生成了以流量使用大为特征的5G套餐推荐用户(含非推荐用户 推荐用户 5G套餐用户). 可用于机器学习练习用.