margauxmasson Goto Github PK

activeloop_hub2.0

automatic_tree_dbh-estimation_with_depth_map_regression_cnn

awesome-chatgpt-code-interpreter-experiments

Awesome things you can do with ChatGPT + Code Interpreter combo 🔥

blobdetection_tracking

Find contours of objects in a scene, find their center, and track them to know the direction of the camera's movement

cb_feature_detection

Congo Basin Feature detection prototype

clearml

ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

climate-viz.github.io

cloud_segmentation

cnn_keypoints_description

computergraphics

computershaders

crop_yield_prediction

Crop Yield Prediction with Deep Learning

cvpr2019

Workshop materials for OpenCV day at CVPR 2019 conference

deep_learning

deepforest-streamlit-app

Streamlit web app for Deep Forest: Generate visual simulation of reforestation

deforestation_visualisation

This repository contains notebooks/scripts used to visualize deforestation using remote sensing data

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

earthshot_model_utils

Utility functions for model development and deployment

examples

A set of examples around hub for creating and processing datasets

gis_shapefiles

GIS Shapefiles library

heat_equation_thermal_equilibrium_in_conductive_plate

hub

Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it. http://activeloop.ai

image_embeddings_with_pretrained_cnn

Generate image embeddings using a pre-trained CNN and store them in Hub

matchingkeypoints_imageretrieval

Matching keypoints in pairs of images for the purposes of image retrieval.

mysql

Read, send, update MYSQL tables

neuralnetworks_pytorch_tutorials

open_model_zoo

Open Model Zoo (pre-trained deep learning models and samples)

optical-flow

Here we estimate an optical flow from a sequence of images, in other words, we will study motion estimation, that is, we will try to detect objects in motion (eg cars) in order to to follow them, to measure their speed, etc. For this, we will implement the method of Horn and Shunck which relies on a differential approach (works for low displacements). This method of Horn and Shunck is based on the assumption that gray levels are preserved from one image to another

plot_losses_and_accuracy_csv_files

q

Q: the software suite that powers the Das Keyboard 5Q mechanical keyboard.