niceynine's repositories
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
AGB_Pune
Above-ground biomass estimation for tree-census done by Pune Muncipal Corporation
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
BioMassters
An algorithm that predicts yearly Aboveground Biomass for Finnish forests using satellite imagery.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
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55个国家的300所大学用于教学。
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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，50余万字。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
dissertation
MSc dissertation code repository for working with GEDI and ALS lidar data.
earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
gedi_tutorials
GEDI L3 and L4 Tutorials
geedim
Search, composite, and download Google Earth Engine imagery.
GoogleEarthEngine-sentinel1-vegetation-indices
It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation indices.
JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
Landsat-LAI
Employing a data-driven approach to generate Leaf Area Index (LAI) maps from Landsat images over CONUS
machine-learning-and-ensemble-for-AGB
Machine learning and ensemble estimate for above-ground biomass estimation
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
pyGEDI
pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.
Python-100-Days
Python - 100天从新手到大师
python3-cookbook
《Python Cookbook》 3rd Edition Translation
RecLearn
Recommender Learning with Tensorflow2.x
TeachYourselfCS-CN
TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS
tiny_python
just tiny python
torch-template-for-deep-learning
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data