Collect some papers and datastes about few-shot object detection for computer vision.

SOTA medical image segmentation methods based on various challenges

Computation using data flow graphs for scalable machine learning

An iOS template project implementing MVVM pattern

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Gathering all info published, both by Apple and by others, about new framework SwiftUI.

Reinforcement Learning examples implementation and explanation

End-to-End Object Detection with Transformers

Python Implementation of Reinforcement Learning: An Introduction

Object detection, 3D detection, and pose estimation using center point detection:

PyTorch implementations of deep reinforcement learning algorithms and environments

A curated list of awesome data labeling tools

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

run tensorflow on lambdas (aws, zeit now, ...)

A starter kit for Snakes species identification challenge

A Fourier Series visualisation written in Swift/SwiftUI

Machine learning notebooks in different subjects optimized to run in google collaboratory

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Reinforcement learning tutorials

Python TensorFlow Lite (tflite) for amazonlinux/aws lambda.

Data-Driven Tests for Python Unittest

CycleGAN Tensorflow 2

A super clean implementation of SSD (Single Shot MultiBox Detector) made possible by Tensorflow 2.0

Keras implementation of RetinaNet object detection.

Data Preparation for Satellite Machine Learning

TensorFlow models accelerated with NVIDIA TensorRT

Deep Learning Examples