akjoshi's repositories
backgroundremover
Background Remover lets you Remove Background from images and video with a simple command line interface that is free and open source.
Deep-learning-for-Animal-Identification
Animal Identification with Deep Convolutional Neural Networks and fast.ai library
ECOSOCresolutions
ECOSOC resolutions in XML AKN4UN format
FaceRecognitionPipeline_GeeksForGeeks
The project codes designed to process a video to extract face embedding categorized in clusters
freemocap
Free Motion Capture for Everyone 💀✨
GAdecisions
General Assembly decisions in XML AKN4UN format
GAresolutions
General Assembly resolutions in XML AKN4UN format
gifenc
fast GIF encoding
gpt4all
gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue
keras-deeplab-v3-plus
Keras implementation of Deeplab v3+ with pretrained weights
leader-line
Draw a leader line in your web page.
libfacedetection
An open source library for face detection in images. The face detection speed can reach 1000FPS.
oshi
Native Operating System and Hardware Information
PhotoGIMP
A Patch for GIMP 2.10+ for Photoshop Users
picojs
A face detection library in 200 lines of JavaScript
pig.js
Arrange images in a responsive, progressive-loading grid managed in JavaScript using CSS transforms.
QuantumKatas
Tutorials and programming exercises for learning Q# and quantum computing
Real-Time-Person-Removal
Removing people from complex backgrounds in real time using TensorFlow.js in the web browser
sampo-ui
Sampo-UI – A framework for building user interfaces for semantic portals
SCresolutions
Security Council resolutions in XML AKN4UN format
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
tfjs-models
Pretrained models for TensorFlow.js
thebookofshaders
Step-by-step guide through the abstract and complex universe of Fragment Shaders.
un-knowledge-extraction
The goal is to pilot Microsoft Cognitive Services to unlock the strategic value of UN unstructured content by building on AI and semantic technologies. The idea is to showcase the innovative smart services that natural language processing and machine learning to effectively support policy and decision making, coordination, synergies and accountability.