yuhhuang's Stars
jackfrued/Python-100-Days
Python - 100天从新手到大师
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
GoogleCloudPlatform/python-docs-samples
Code samples used on cloud.google.com
microsoft/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Jack-Cherish/quantitative
量化交易:python3
https-deeplearning-ai/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
ayoolaolafenwa/PixelLib
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
opengeos/Awesome-GEE
A curated list of Google Earth Engine resources
samapriya/awesome-gee-community-datasets
Community Datasets added by users and made available for use at large
linkedin/FastTreeSHAP
Fast SHAP value computation for interpreting tree-based models
gee-community/geetools
A collection of tools to work with Google Earth Engine Python API
renelikestacos/Google-Earth-Engine-Python-Examples
Various examples for Google Earth Engine in Python using Jupyter Notebook
bopen/sarsen
Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors
crowdAI/crowdai-mapping-challenge-mask-rcnn
Mask-RCNN baseline for the crowdAI Mapping Challenge
Mstfakts/Building-Detection-MaskRCNN
Building detection from the SpaceNet dataset by using Mask RCNN.
GeoDS/COVID19USFlows
Multiscale Dynamic Human Mobility Flow Data in the U.S. during the COVID-19 epidemic
piyushpathak03/cracking-the-data-science-interview-in-7-days
lujiazho/MachineLearningPlayground
Implementation of basic mathematical pattern recognition/machine learning techniques for fun
rchavezj/Cracking_The_Machine_Learning_Interview
(Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went public, Subhrajit has only written down the questions with no update on the solutions. I plan on finishing the war. I may add more questions outside of the articles domain. No one else on the internet has written down a solution for machine learning interview, an opportunity I want to take advantage of.
ankitkariryaa/An-unexpectedly-large-count-of-trees-in-the-western-Sahara-and-Sahel
This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".
choasma/HSIC-bottleneck
The HSIC Bottleneck: Deep Learning without Back-Propagation
gmortuza/tensorflow_specialization
This repository contains the course materials that were used for Coursera TensorFlow specialization course.
RomRoc/maskrcnn_train_tensorflow_colab
Google Colab (Jupyter) notebook to train Instance Segmentation Tensorflow model with custom dataset, based on Matterport Mask R-CNN
ashnair1/Mask-RCNN-for-Off-Nadir-Building-Detection
Mask RCNN trained to detect buildings from the SpaceNet Off Nadir dataset
SaveraLLC/Indian-rooftops-detection
MariosGalanis/DamageMap
GeoDS/T-Huff
MarshHawk/Natural-Language-Processing-Specialization