ravitashaw

coding-interview-university

A complete computer science study plan to become a software engineer.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

faiss

A library for efficient similarity search and clustering of dense vectors.

deeplearning-models

A collection of various deep learning architectures, models, and tips

vision_transformer

librealsense

Intel® RealSense™ SDK

CtCI-6th-Edition-Python

Cracking the Coding Interview 6th Ed. Python Solutions

minimal

A Theme for GitHub Pages

SparseConvNet

Submanifold sparse convolutional networks

ABigSurvey

A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

Coding_Notes

TAADpapers

Must-read Papers on Textual Adversarial Attack and Defense

3dv_tutorial

An Invitation to 3D Vision: A Tutorial for Everyone

supervision-by-registration

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

PyKrige

Kriging Toolkit for Python

freesurfer

Neuroimaging analysis and visualization suite

mgwr

Multiscale Geographically Weighted Regression (MGWR)

pytorch-vit

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

rigid_transform_3D

vicalib

Visual-Inertial Calibration Tool

Medical-Report-Generation

A pytorch implementation of On the Automatic Generation of Medical Imaging Reports.

taranis

Similarity search engine built around Faiss library

pointcloud_stitching

Distributed depth camera system for point cloud stitching for ARENA

Multiple-Quadrotor-SLAM

Multiple Quadrotor SLAM

icnn

iCNN: image reconstruction from CNN features

cryoem-cvpr2015

Source code to accompany the CVPR 2015 paper "Building Proteins in a Day"

MarkerLocator

dd-pose

DD-Pose Dataset Code

Passive-marker-detection-using-opencv

Passive marker detection using opencv and coordinate estimate using opencv

transformed_illumination

Automated Microscope from Monte Carlo based simulation by capturing iterative illumination of snapshots using LSTMs and Transformers (BERT) for instant image classification (CNN) of molecular specimens