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leetcode

leetcode-1

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcodebook

leetcode 1~400知识点&题型总结&leetcode对应题表

lucid

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

magenta

Magenta: Music and Art Generation with Machine Intelligence

makegirls.moe_web

Create Anime Characters with MakeGirls.moe

mask_rcnn

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

mdp_tracking

Learning to Track: Online Multi-Object Tracking by Decision Making

mediapipe

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

minst_mult_conv_layer

ml-in-pyhton

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mobilenetv3

A Keras implementation of MobileNetV3.

mobilenetv3-tensorflow

Unofficial implementation of MobileNetV3 architecture described in paper Searching for MobileNetV3.

mocapnet

We present MocapNET, an ensemble of SNN encoders that estimates the 3D human body pose based on 2D joint estimations extracted from monocular RGB images. MocapNET provides BVH file output which can be rendered in real-time or imported without any additional processing in most popular 3D animation software. The proposed architecture achieves 3D human pose estimations at state of the art rates of 400Hz using only CPU processing.

models

Models built with TensorFlow

mtcnn

mtcnn in python

mtcnn-1

基于caffe的mtcnn训练实现，可以训练一个自己的有效的目标检测算法，非常容易非常简单，并且有配套的纯c++版本的mtcnn-light

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

nasnet-keras

Keras implementation of NASNet-A

netron

Visualizer for deep learning and machine learning models

neural-enhance

Super Resolution for images using deep learning.

neural-style

Torch implementation of neural style algorithm

nima.pytorch

NIMA: Neural IMage Assessment

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

notebooks

Notebooks using the Hugging Face libraries 🤗

objectdetectionimbalance

Lists the papers related to imbalance problems in object detection