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aureliengeron

“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.

bayesiannetwork

Bayesian Network Modeling and Analysis

bilstm-crf

A Pytorch implementation for NER using BiLSTM-CRF

clrs

:notebook:Solutions to Introduction to Algorithms

cogdl

CogDL: An Extensive Toolkit for Deep Learning on Graphs (Graph Neural Networks, GNN)

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cplusplus-_implementation_of_introduction_to_algorithms

《算法导论》第三版中算法的C++实现

darknet

Convolutional Neural Networks

exponential_smoothing

python实现指数平滑算法

facenet

Face recognition using Tensorflow

fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

fate

An Industrial Level Federated Learning Framework

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

git_usage

graph-learn

An Industrial Graph Neural Network Framework

graphscope

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba 来自阿里巴巴的一站式大规模图计算系统 图分析 图查询 图机器学习

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hands-on-machine-learning-with-scikitlearn-and-tensorflow

handson-ml

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

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.

introductiontoalgorithms

The implementations of Introduction to Algorithms.

largevis

leetcode

:pencil: Python / C++ 11 Solutions of All LeetCode Questions

mask_rcnn

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

mean-average-precision-for-boxes

Function to calculate mAP for set of detected boxes and annotated boxes.

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mnn

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

models

Models built with TensorFlow

pathplanning

Common used path planning algorithms with animations.