zubair-ahmed-ai

candle

Minimalist ML framework for Rust

text-generation-inference

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

LinearityIQA

[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)

image-quality-assessment

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

smplify-x

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

norfair

Lightweight Python library for adding real-time multi-object tracking to any detector.

turicreate

Turi Create simplifies the development of custom machine learning models.

BackgroundMattingV2

Real-Time High-Resolution Background Matting

paz

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

paz

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

TensorPipe

High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.

U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

Awesome-FAS

Paper collection of about the face anti-spoofing

deepMOT

Official Implementation of How To Train Your Deep Multi-Object Tracker (CVPR2020)

Math_resources

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

keras-idiomatic-programmer

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework