This repository is absolute gold for all the Data Science, Machine Learning Aspirants and practitioners Just go and access almost all available best solutions and ideas shared by top performers in the Kaggle competitions: github.com/faridrashidi/k…

Tutorial on how to calculate various spectral indices fast and quick in #Google Earth Engine(#GEE) platform using Awesome Spectral Indices library. You can compute many spectral indices without bothering about the formula to be used in the expression geodose.com/2022/10/how-to…

New discovery: Raster4ML provides easy-to-use functions that can automatically calculate features such as NDVI, EVI, NDRE, etc. with one or several lines of codes in Python github.com/remotesensingl…

I am excited to share that the satellite-image-deep-learning newsletter now lives at its own domain 🛰️ I also now host my blog posts & videos there too, so all media are all in once location 🏠 satellite-image-deep-learning.com

Tired of forgetting terminal commands every 10 seconds? ⚡pip install terminal-copilot⚡ GPT-3.5 powered terminal commands - probably the biggest productivity hack you can install today :)

A comprehensive list of open #geospatial datasets on major cloud computing platforms (#AWS, #EarthEngine, #PlanetaryComputer) and STAC Index. The lists are provided in TSV and JSON formats. The list is updated daily. GitHub: github.com/giswqs/geospat… #opendata #datascience

I just discovered 'torchview', a cool new python library to visualize the graph of a neural network in Torch. It seems a lot better than previous existing libraries, it shows you all the important details without the fluff. github.com/mert-kurttutan…

👉 Deep Learning Paper Implementations 📃 A collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations and side-by-side notes. 🔗 github.com/labmlai/annota…

We are accepting submissions for the 1st Machine Learning for Remote Sensing Workshop at ICLR 2026 2023 in Kigali, Rwanda. Submission deadline is Feb 3, 2023. nasaharvest.github.io/ml-for-remote-… Hope to see you there!

🗺 𝗚𝗘𝗢𝗦𝗣𝗔𝗧𝗜𝗔𝗟 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥 / 𝗗𝗔𝗧𝗔 𝗦𝗖𝗜𝗘𝗡𝗧𝗜𝗦𝗧 / 𝗚𝗘𝗢𝗦𝗣𝗔𝗧𝗜𝗔𝗟 𝗔𝗡𝗔𝗟𝗬𝗦𝗧 💡 Interested in a career in #geospatial but unsure what's involved? Learn more about popular jobs, main skills, & study tips. #GIS #GISjobs #geospatialjobs #datascience

📢Introducing ClimateLearn, a new PyTorch library for accessing climate datasets, state-of-the-art ML models, and high quality training and visualization pipelines. Blog: aditya-grover-group.github.io/blog/2023/clim… Docs: climatelearn.readthedocs.io Quickstart Colab: colab.research.google.com/drive/1WiNEK1B… 🧵 (1/n)

Excited to announce our Deep Learning Tuning Playbook, a writeup of tips & tricks we employ when designing DL experiments. We use these techniques to deploy numerous large-scale model improvements and hope formalizing them helps the community do the same! github.com/google-researc…

Regarding choosing a good batch size: Choosing a batch size to be as large as your hardware permits (up to a point) seems to be a good recommendation. Compiled some resources via the figure below.

Problem: #ChatGPT is definitely bad at Math 🤦 My solution: 👉MathGPT 🤓 MatGPT is an Streamlit app that uses @openai GPT-3 + Numpy NumPy to handle mathematical operations (vectors, matrices) and even College physics problems. Check the video 👇 Cc. Charly Wargnier ✌️

No model has ever beaten 91% accuracy on ImageNet! Because this dataset has over 100,000 mislabeled images. Folks at MIT have released a tool that automatically detects such issues to help you clean any dataset 🔥 Read more 🧵👇

Segmenting aerial imagery with text prompts. It will soon be available through the segment-geospatial Python package. The image below is the segmentation result using the text prompt 'tree'. It is full automatic. GitHub: github.com/opengeos/segme… #geospatial #segmentanything

This is huge: Llama-v2 is open source, with a license that authorizes commercial use! This is going to change the landscape of the LLM market. Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers Pretrained and fine-tuned

New course with Hugging Face! Building Generative AI Applications with Gradio, taught by Apolinário Passos apolinário, shows you how to quickly create demos of your machine learning applications to test and iterate/share with others. Check it out! deeplearning.ai/short-courses/…

Annotated PyTorch papers! 🔥 labml.ai has the best resources for learning how to really implement ideas This is a no-nonsense website with a side-by-side implementation of papers in PyTorch The transformers section is my fav: nn.labml.ai/index.html

Tenho o prazer de anunciar que o ScriptLattes agora está no GitHub, atualizado em Python 3: github.com/jpmenachalco/s… Em março de 2025, o ScriptLattes completará 20 anos!