d-misra Goto Github PK
Name: DM
Type: User
Location: France
DM's Projects
rotationdetection
This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.
rprojects
Repo for R Data Science projects
rs_intro
Introduction to Remote Sensing for ENSAT 2A/M2 Sigma
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
satsr
A project to perform super-resolution on multispectral images from any satellite
segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
segnet
Semantic Segmentation using SegNet implemented in PyTorch
segnet-tutorial
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
selfdrivingcarprojects-nd
This is a centralized repo for various projects on Deep Learning, Computer Vision, Sensor Fusion, Path Planning etc. for the Udacity Self Driving Car Nanodegree
sensor-fusion-lidar-object-detection
Using Euclidiean Clustering and RANSAC to detect Objects in Lidar captured Point Clouds (PCDs)
sentinel2-deep-learning
Performing image classification on Sentinel-2 satellite imagery.
sfnd-3d-object-tracking
Estimates the time-to-collision with data from Camera and LiDAR using Object Detection with YOLO and Keypoints matching
sfnd_lidar_obstacle_detection
Plane Segmentation and Obstacle Clustering in LiDAR generated point clouds
smart_grasping_sandbox
A public sandbox for Shadow's Smart Grasping System
snorkel
A system for quickly generating training data with weak supervision
sota-medseg
SOTA medical image segmentation methods based on various challenges
split-folders
🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders
ssd
High quality, fast, modular reference implementation of SSD in PyTorch
super-resolution
collection of super-resolution models & algorithms
super_resolution_with_cnns_and_gans
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
superpixel-benchmark
An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.
svm-vehicle-detector
HOG-based linear SVM for detecting vehicles (or any other object) in videos
swift-ios-apps
Simple Swift projects to get started with iOS app development
syndata-generation
Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
takehomedatachallenges
My solution to the book <A collection of Data Science Take-home Challenges>
technical-interview-prep
These are coding solutions for problems I study while preparing for technical interviews at tech companies
tensorspace
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
ternausnet
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
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