cltdevelop's repositories
awesome-chatgpt-prompts-zh
ChatGPT 中文调教指南。怎么让它听你的话。
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Deformable-ConvNets
Deformable Convolutional Networks
Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
ecg
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
FCOS
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
hgdecode
Implements High-Gamma dataset decoding using Filter Bank Common Spatial Pattern with rLDA classification and Neural Networks.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
mine_detection
start to arange detection methods based deep learning
OpenNMT-py
Open Source Neural Machine Translation in PyTorch
PANet
PANet for Instance Segmentation and Object Detection
Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
python-data-structure-cn
problem-solving-with-algorithms-and-data-structure-using-python 中文版
pytorch-retinanet
RetinaNet in PyTorch
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
pytorch_classification
基于pytorch框架的classification万用模板
pytorch_ctpn
This is a pytorch implementation of CTPN(Detecting Text in Natural Image with Connectionist Text Proposal Network)
pytorch_segmentation
基于pytorch框架的segmentation 万用模板
Regularized-Common-Spatial-Patterns
RCSP algorithm(based on matlab)
ResidualAttentionNetwork-pytorch
a pytorch code about Residual Attention Network. This code is based on two projects from
simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
tianchi_lvcai
天池竞赛Baseline分享（2018广东工业智造大数据创新大赛——智能算法赛，线上0.921无调参）
UCR_Time_Series_Classification_Deep_Learning_Baseline
Fully Convlutional Neural Networks for state-of-the-art time series classification