Topic: supervised-learning Goto Github
Some thing interesting about supervised-learning
Some thing interesting about supervised-learning
supervised-learning,Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
User: a-martyn
Home Page: https://www.alanmartyn.com
supervised-learning,Complete-Life-Cycle-of-a-Data-Science-Project
User: achuthasubhash
supervised-learning,R package for automation of machine learning, forecasting, model evaluation, and model interpretation
User: adrianantico
supervised-learning,An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
User: afagarap
Home Page: https://arxiv.org/abs/1712.03541
supervised-learning,VIP cheatsheets for Stanford's CS 229 Machine Learning
User: afshinea
Home Page: https://stanford.edu/~shervine/teaching/cs-229
supervised-learning,Current state of supervised and unsupervised depth completion methods
User: alexklwong
supervised-learning,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
User: benedekrozemberczki
Home Page: https://karateclub.readthedocs.io
supervised-learning,📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
User: ceruleanacg
supervised-learning,The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Organization: code-kern-ai
Home Page: https://www.kern.ai
supervised-learning,Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
User: csinva
Home Page: https://csinva.io/imodels
supervised-learning,A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)
User: davidsbatista
supervised-learning,Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
Organization: diffusion-classifier
Home Page: http://diffusion-classifier.github.io/
supervised-learning,Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
Organization: dvlab-research
Home Page: https://arxiv.org/abs/2107.12028
supervised-learning,Free Resources For Data Science created by Shubham Kumar
Organization: frontbenchhq
supervised-learning,A PyTorch implementation of OpenAI's REPTILE algorithm
User: gabrielhuang
supervised-learning,An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
User: giacbrd
supervised-learning,A simple python OCR engine using opencv
User: goncalopp
supervised-learning,This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
Organization: google
Home Page: https://arxiv.org/abs/1810.04719
supervised-learning,Learning to Cluster. A deep clustering strategy.
Organization: gt-ripl
supervised-learning,A deep neural network that learns to drive in video games
User: ikergarcia1996
supervised-learning,zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
User: jaswinder9051998
Home Page: https://jaswinder9051998.github.io/zoofs/
supervised-learning,Decision 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
User: jayshah19949596
supervised-learning,Classification of Breast Cancer diagnosis Using Support Vector Machines
User: jean-njoroge
supervised-learning,The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
User: jxareas
supervised-learning,Supervised Semantics-preserving Deep Hashing (TPAMI18)
User: kevinlin311tw
Home Page: https://arxiv.org/abs/1507.00101v2
supervised-learning,Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
Organization: koalaverse
Home Page: https://koalaverse.github.io/homlr
supervised-learning,Advanced High Performance Data Science Toolbox for R by Laurae
User: laurae2
supervised-learning,Toolbox of models, callbacks, and datasets for AI/ML researchers.
Organization: lightning-universe
Home Page: https://lightning-bolts.readthedocs.io
supervised-learning,(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design
User: liuruoze
supervised-learning,(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.
User: liuruoze
supervised-learning,Implementing machine learning algorithms from scratch.
User: madhug-nadig
supervised-learning,Notebooks from the Machine Learning Specialization
User: marinavillaschi
supervised-learning,Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
User: minqi824
supervised-learning,100-Days-Of-ML-Code中文版
Organization: mleveryday
supervised-learning,🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
User: mrsaeeddev
supervised-learning,PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
Organization: paddlepaddle
Home Page: http://paddlescience-docs.rtfd.io/
supervised-learning,:speedboat: Label data at scale. Fun and precision included.
User: phurwicz
Home Page: https://phurwicz.github.io/hover
supervised-learning,2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
User: quocviethere
supervised-learning,A library of extension and helper modules for Python's data analysis and machine learning libraries.
User: rasbt
Home Page: https://rasbt.github.io/mlxtend/
supervised-learning,【火炉炼AI】-机器学习系列文章
User: raydean
supervised-learning,Smarter Manual Annotation for Resource-constrained collection of Training data
Organization: rtiinternational
supervised-learning,Stock Price Prediction using Machine Learning Techniques
User: scorpionhiccup
Home Page: http://scorpionhiccup.github.io/StockPricePrediction
supervised-learning,A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
User: sergio0694
supervised-learning,Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
User: snrazavi
supervised-learning,Neural networks training pipeline based on PyTorch
User: toodef
Home Page: https://neural-pipeline.readthedocs.io
supervised-learning,Code for reproducing Manifold Mixup results (ICML 2019)
User: vikasverma1077
supervised-learning,HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab
User: wjn1996
Home Page: https://wjn1996.github.io/blogs/HugNLP/
supervised-learning,Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)
User: yhyu13
supervised-learning,🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
User: zhaoj9014
supervised-learning,This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".
User: zilongzhong
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An Open Source Machine Learning Framework for Everyone
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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A server is a program made to process requests and deliver data to clients.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.