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keras-onnx

Convert Keras models to ONNX

keras-rl

Deep Reinforcement Learning for Keras.

keras-shufflenet

ShuffleNet Implementation using Keras Functional Framework 2.0

keras-tuner

Hyperparameter tuning for humans

keras-yolo2-1

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

keras-yolo3-1

Training and Detecting Objects with YOLO3

keras-yolov3-model-set

end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies

keras-yolov4

yolov4 42.0% mAP.ppyolo 45.1% mAP.

kissfft

a Fast Fourier Transform (FFT) library that tries to Keep it Simple, Stupid

kubeflow

Machine Learning Toolkit for Kubernetes

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

learn-regex

Learn regex the easy way

leetcode

Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

libfacedetection

An open source library for face detection in images. The face detection speed can reach 1500FPS.

lime

Lime: Explaining the predictions of any machine learning classifier

locality-sensitive-hashing-tutorial

A tutorial on locality sensitive hashing, using MinHashing for document similarity and CosineSimilarity for Euclidean space similarity.

loss-landscape

Code for visualizing the loss landscape of neural nets

lpcvc20

lsd_slam

LSD-SLAM

lucid

A collection of infrastructure and tools for research in neural network interpretability.

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

massivemimobook

Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.

matchlib

SystemC/C++ library of commonly-used hardware functions and components for HLS.