AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
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Updated
Mar 4, 2024 - Python
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
100 Days of ML Coding
⚡机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Python code for common Machine Learning Algorithms
Code for Tensorflow Machine Learning Cookbook
Curso de Introducción a Machine Learning con Python
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc. All codes are implemented intensorflow 2.0.
The Operator Splitting QP Solver
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
⚡️⚡️⚡️《机器学习实战》代码(基于Python3)🚀
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
Java Statistical Analysis Tool, a Java library for Machine Learning
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
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