ChanceQZ
AI for Geoscience, Data-driven Modeling, GIS & Remote Sensing
Technical University of MunichGermany
ChanceQZ's Stars
d2l-ai/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
mli/paper-reading
深度学习经典、新论文逐段精读
fastai/fastbook
The fastai book, published as Jupyter Notebooks
ddbourgin/numpy-ml
Machine learning, in numpy
hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.
open-mmlab/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
amusi/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
meetps/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
opengeos/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
microsoft/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
azavea/raster-vision
An open source library and framework for deep learning on satellite and aerial imagery.
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
datawhalechina/team-learning-data-mining
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
Lyken17/Efficient-PyTorch
My best practice of training large dataset using PyTorch.
zhanglj37/Tutorial-on-PhD-Application
Tutorial on PhD Application
SupeRuier/awesome-active-learning
Everything you need about Active Learning (AL).
bitzhangcy/Neural-PDE-Solver
irfanICMLL/structure_knowledge_distillation
The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.
zhjx19/introR
这是一本中文 R 语言入门书，基于最新 tidyverse 包。
Stomach-ache/awesome-long-tail-learning
mrlooi/rotated_maskrcnn
Rotated Mask R-CNN: From Bounding Boxes to Rotated Bounding Boxes
royalosyin/Python-Practical-Application-on-Climate-Variability-Studies
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
caiobzen/water-reminder-swiftui
A simple Apple Watch app to remind you to drink water!
Walstruzz/edge_eval_python
A python implementation of edge eval
rubeea/focal_phi_loss_mmsegmentation
ChanceQZ/StreetViewImageClassification
Street view image identification, which mainly includes noise barrier identification and detection.