Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (+19.15%)
Face.evolve.pytorch🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Stars: ✭ 2,719 (+5685.11%)
models-by-exampleBy-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
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GDLibraryMatlab library for gradient descent algorithms: Version 1.0.1
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Deeplearning.ai该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
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Machine learning basicsPlain python implementations of basic machine learning algorithms
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Fuku MlSimple machine learning library / 簡單易用的機器學習套件
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Efficientnet PytorchA PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
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DeltapyDeltaPy - Tabular Data Augmentation (by @firmai)
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Isl PythonSolutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
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VBLinLogitVariational Bayes linear and logistic regression
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Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
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Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
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Machine Learning ModelsDecision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
Stars: ✭ 160 (+240.43%)
RegressionMultiple Regression Package for PHP
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Mylearnmachine learning algorithm
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cobraA Python package to build predictive linear and logistic regression models focused on performance and interpretation
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Python-AndrewNgMLPython implementation of Andrew Ng's ML course projects
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DeeplearningDeep Learning From Scratch
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BrihaspatiCollection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
Stars: ✭ 53 (+12.77%)
SGDLibraryMATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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MlA set of machine learning experiments in Clojure
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Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Stars: ✭ 4,448 (+9363.83%)
srqmAn introductory statistics course for social scientists, using Stata
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25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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Ml CourseStarter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
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finetunerFinetuning any DNN for better embedding on neural search tasks
Stars: ✭ 442 (+840.43%)
mnist-challengeMy solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
Stars: ✭ 68 (+44.68%)
Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Stars: ✭ 30 (-36.17%)
AutofeatLinear Prediction Model with Automated Feature Engineering and Selection Capabilities
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theedhum-nandrumA sentiment classifier on mixed language (and mixed script) reviews in Tamil, Malayalam and English
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Machine-Learning🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .
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AIML-ProjectsProjects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
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100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
Stars: ✭ 172 (+265.96%)
CheXpert-ChallengeCode for CheXpert Challenge 2019 Top 1 && Top 2 solution
Stars: ✭ 30 (-36.17%)
AulasAulas da Escola de Inteligência Artificial de São Paulo
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Xtreme-VisionA High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.
Stars: ✭ 77 (+63.83%)
vietnamese-robertaA Robustly Optimized BERT Pretraining Approach for Vietnamese
Stars: ✭ 22 (-53.19%)
Radiomics-research-by-using-PythonRadiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.
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tsflexFlexible time series feature extraction & processing
Stars: ✭ 252 (+436.17%)
100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
Stars: ✭ 146 (+210.64%)
AiSpaceAiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0
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MlkitA simple machine learning framework written in Swift 🤖
Stars: ✭ 144 (+206.38%)