100 Days of ML Coding
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Updated
Dec 29, 2023
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100 Days of ML Coding
python machine-learning tutorial deep-learning svm linear-regression scikit-learn linear-algebra machine-learning-algorithms naive-bayes-classifier logistic-regression implementation support-vector-machines 100-days-of-code-log 100daysofcode infographics siraj-raval siraj-raval-challenge
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
python nlp svm scikit-learn sklearn regression logistic dnn lstm pca rnn deeplearning kmeans adaboost apriori fp-growth svd naivebayes mahchine-leaning recommendedsystem
⚡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 machine-learning svm regression logistic python3 adaboost smo knn decision-tree navie-bayes-algorithm adaboost-algorithm
Code for Tensorflow Machine Learning Cookbook
nlp machine-learning neural-network tensorflow svm genetic-algorithm linear-regression regression cnn ode classification rnn tensorboard packtpub tensorflow-cookbook tensorflow-algorithms kmeans-clustering
Python code for common Machine Learning Algorithms
random-forest svm linear-regression naive-bayes-classifier pca logistic-regression decision-trees lda polynomial-regression kmeans-clustering hierarchical-clustering svr knn-classification xgboost-algorithm
The Operator Splitting QP Solver
machine-learning control optimization svm solver lasso portfolio-optimization numerical-optimization quadratic-programming convex-optimization model-predictive-control
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
flask deployment random-forest svm cnn pytorch image-classification densenet resnet knn knowledge-distillation resnext label-smoothing
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
machine-learning udacity computer-vision svm self-driving-car hog-features sliding-windows svm-classifier
⚡️⚡️⚡️《机器学习实战》代码(基于Python3)🚀
Curso de Introducción a Machine Learning con Python
Java Statistical Analysis Tool, a Java library for Machine Learning
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
A minimalistic educational hypervisor for Windows on AMD processors.
Compendium of free ML reading resources
machine-learning statistics time-series random-forest svm linear-regression regression artificial-intelligence neural-networks forecasting classification
Machine Learning library for the web and Node.
machine-learning node web random-forest svm statistical-learning feature-extraction easy-to-use structured-data data-preprocessing minimalistic probabilistic-models
📚《统计学习方法-李航: 笔记》 200页PDF,包含详细的公式细节讲解以及R语言实现 🎉
SimpleSvmHook is a research purpose hypervisor for Windows on AMD processors.
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