marvision-ai

transformer-deploy

Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀

pdfplumber

Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

google-workspace

A unofficial high level Python API wrapper for some of the productivity based Google APIs, that is focused on simplicity.

mediapipe-python-sample

MediaPipeのPythonパッケージのサンプルです。2021/12/14時点でPython実装のある7機能(Hands、Pose、Face Mesh、Holistic、Face Detection、Objectron、Selfie Segmentation)について用意しています。

aws-doc-sdk-examples

Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.

Noise2Noise-audio_denoising_without_clean_training_data

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.

DTLN

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

milvus

A cloud-native vector database, storage for next generation AI applications

Python

All Algorithms implemented in Python

DeepImageSearch

DeepImageSearch is a Python library for fast and accurate image search. It offers seamless integration with Python, GPU support, and advanced capabilities for identifying complex image patterns using the Vision Transformer models.

Eyes-Position-Estimator-Mediapipe

This is Eyes :eye: :eye: Tracking Project, here we will use computer vision techniques to extracting the eyes, Mediapipe python modules will provide the face landmarks,

sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

YOLOv5-Lite

🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

amazon-rekognition-video-analyzer

A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.

Brain-Power-Amazon-Fidgetology

Serverless web app for streaming browser webcam feed to Amazon Kinesis Video Streams and Rekognition Video. See our post on the AWS Machine Learning Blog: https://aws.amazon.com/blogs/machine-learning/building-automatic-analysis-of-body-language-to-gauge-attention-and-engagement-using-amazon-kinesis-video-streams-and-amazon-ai-services

amazon-kinesis-video-streams-webrtc-sdk-js

JS SDK for interfacing with the Amazon Kinesis Video Streams Signaling Service.

aws-streamer

Video Processing for AWS

deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

WebGazer

WebGazer.js: Scalable Webcam EyeTracking Using User Interactions

shap

A game theoretic approach to explain the output of any machine learning model.

rclip

AI-Powered Command-Line Photo Search Tool

GazeTracking

👀 Eye Tracking library easily implementable to your projects

mediapipeDemos

Real-time Python demos of google mediapipe

PaddleGAN

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

yolov5-export-to-cpu-mnn

YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

tensorrt_yolov5

YoloV5 Tensorrt Conversion, Calibration, Inference

yolov5_export_cpu

Exporting YOLOv5 for CPU inference with ONNX and OpenVINO

qdrant

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Awesome-CoreML-Models

Largest list of models for Core ML (for iOS 11+)