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knowledge-graph

知识图谱-概念与技术

kubeflowdojo

Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo

load-forecasting

Forecasting average total load on the Elia electric grid via machine learning

location

Smartphone navigation positionning, fusion GPS and IMU sensors.

maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

mcd_dashboard

memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

mini-alphastar

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mlopspython

MLOps using Azure ML Services and Azure DevOps

mmtracking

OpenMMLab Video Perception Toolbox. It supports Single Object Tracking (SOT), Multiple Object Tracking (MOT), Video Object Detection (VID) with a unified framework.

mobile-yolov5-pruning-distillation

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

mslearn-aml-labs

Azure Machine Learning Lab Notebooks

nanogpt

neuralclassifier

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

neuralnlp-neuralclassifier

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

nni

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

pass

pointcloud_tutorial

This is a fundamental manual for getting started with Point Cloud, covering basic knowledge of point cloud, point cloud file format, CloudCompare and MeshLab software instructions, PCL library algorithm introduction and other algorithms supplementary.

predicting_stock_prices

This is the coding challenge for "Predicting Stock Prices" by @Sirajology on Youtube

presumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

project_landing_page

pytorch-deep-learning-template

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

ranking

Learning to Rank in TensorFlow

real-time-ml-project

A curated list of applied machine learning and data science notebooks and libraries across different industries.

recnn

Reinforced Recommendation toolkit built around pytorch 1.7

recommenders

Best Practices on Recommendation Systems

recsys

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

restricted-boltzmann-machines

Restricted Boltzmann Machines in Python.

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay