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Name: Ramesh Nair
Type: User
Company: @planetlabs
Bio: Machine Learning + Earth Observation @planetlabs
Twitter: ramzi_nair
Location: San Francisco
Name: Ramesh Nair
Type: User
Company: @planetlabs
Bio: Machine Learning + Earth Observation @planetlabs
Twitter: ramzi_nair
Location: San Francisco
This repo contains annotated research papers that I found really good and useful
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
A containerized REST API around OpenAI's CLIP model.
Code and files to go along with CS329s machine learning model deployment tutorial.
PyTorch package for the discrete VAE used for DALL·E.
This repository contains implementations and illustrative code to accompany DeepMind publications
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Python Data. Leaflet.js Maps.
Create UIs for prototyping your machine learning model in 3 minutes
This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
Overview and tutorial of the LangChain Library
Learn how to responsibly deliver value with ML.
missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Models and examples built with TensorFlow
Usage examples, demos, and tutorials for OSMnx.
python implementation of the paper "Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes" - cvpr 2017
CycleGAN for super-resolution: from Clinical CT to Micro CT
Photo Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Some of the best twitter threads regarding Machine Learning and Deep Learning
This is the code repository for my Medium post "Understanding your Convolution network with Visualizations"
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.