MLEveryday / 100-Days-Of-ML-Code

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

machine-learning clustering supervised-learning speaker-recognition speaker-diarization supervised-clustering uis-rnn

Updated Aug 28, 2020
Python

Ceruleanacg / Personae

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📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

reinforcement-learning trading paper stock supervised-learning stock-price-prediction stock-data time-series-prediction

Updated Nov 29, 2018
Python

benedekrozemberczki / karateclub

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Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

machine-learning sklearn community-detection network-science deepwalk networkx supervised-learning louvain unsupervised-learning network-embedding scikit label-propagation gcn graph-clustering node2vec networkx-graph graph-embedding graph2vec node-embedding 2vec

Updated Dec 21, 2020
Python

scorpionhiccup / StockPricePrediction

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Stock Price Prediction using Machine Learning Techniques

machine-learning video analysis lstm supervised-learning forecasting rnn lstm-neural-networks stock-price-forecasting concept-video

Updated Oct 24, 2019
Jupyter Notebook

PyTorchLightning / pytorch-lightning-bolts

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Open

Add type annotations

11

akihironitta commented Dec 8, 2020

🚀 Feature

As static type checker mypy was added in #433, we can add type annotations to the codebase.

Steps to contribute

For each PR:

choose and remove one submodule from the list below
add type hints the submodule you chose
make sure to pass mypy check with mypy

Progress

pl_bolts.callbacks.* (#444)
pl_bolts.datamodules.* (#462)
`pl_bol

Polyaxon Logger

8

ikergarcia1996 / Self-Driving-Car-in-Video-Games

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A deep neural network that learns to drive in video games

python video-games machine-learning deep-learning neural-network pytorch supervised-learning self-driving-car videogame pretrained-models autonomous-driving deep-neural-network videogame-bot

Updated Oct 25, 2020
Python

davidsbatista / Annotated-Semantic-Relationships-Datasets

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A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)

nlp annotated information-extraction supervised-learning datasets semantic-relationship-extraction

Updated Jun 26, 2020

goncalopp / simple-ocr-opencv

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A simple python OCR engine using opencv

opencv machine-learning ocr supervised-learning machinelearning machine-vision machinevision python-ocr knn-algorithm

Updated Mar 17, 2019
Python

Sergio0694 / NeuralNetwork.NET

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A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

machine-learning visual-studio ai csharp neural-network cuda cnn supervised-learning gpu-acceleration netstandard convolutional-neural-networks gradient-descent net-framework backpropagation-algorithm classification-algorithims

Updated Sep 15, 2020
C#

toodef / neural-pipeline

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Neural networks training pipeline based on PyTorch

deep-learning pipeline pytorch neural-networks supervised-learning image-classification object-detection image-segmentation training-pipeline

Updated Jun 1, 2020
Python

vikasverma1077 / manifold_mixup

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Code for reproducing Manifold Mixup results (ICML 2019)

deep-neural-networks deep-learning pytorch supervised-learning regularization data-augumentation supervised-machine-learning icml2019

Updated Jul 30, 2020
Python

madhug-nadig / Machine-Learning-Algorithms-from-Scratch

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Implementing machine learning algorithms from scratch.

machine-learning machine-learning-algorithms dataset supervised-learning unsupervised-learning machine-learning-python machine-learning-scratch

Updated Dec 26, 2020
Python

yhyu13 / AlphaGOZero-python-tensorflow

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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)

supervised-learning deepmind alphago-zero python-tensorflow

Updated Jul 12, 2019
Python

GT-RIPL / L2C

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Learning to Cluster. A deep clustering strategy.

deep-neural-networks deep-learning clustering artificial-intelligence supervised-learning semi-supervised-learning artificial-neural-networks transfer-learning unsupervised-learning loss-functions similarity-metric

Updated Jan 8, 2020
Python

frontbenchHQ / Data-Science-Free

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Free Resources For Data Science created by Shubham Kumar

data-science machine-learning statistics reinforcement-learning deep-learning ml q-learning courses supervised-learning ml-cheatsheet

Updated Jul 13, 2020

kevinlin311tw / Caffe-DeepBinaryCode

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Supervised Semantics-preserving Deep Hashing (TPAMI18)

hashing caffe deep-learning supervised-learning convolutional-neural-networks image-retrieval

Updated Feb 20, 2017
C++

Laurae2 / Laurae

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Advanced High Performance Data Science Toolbox for R by Laurae

data-science machine-learning r supervised-learning xgboost laurae

Updated Mar 24, 2017
R

giacbrd / ShallowLearn

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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.

machine-learning text-mining neural-network text-classification word2vec scikit-learn word-embeddings supervised-learning gensim fasttext online-learning shallow-learning

Updated Aug 8, 2017
Python

mrsaeeddev / free-ai-resources

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Open

add free courses and other resources related to AI to the list

mrsaeeddev opened Aug 7, 2020

documentation easy good first issue hacktoberfest

koalaverse / homlr

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Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

data-science machine-learning r supervised-learning unsupervised-learning

Updated Jan 6, 2020
CSS

AFAgarap / cnn-svm

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An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

machine-learning deep-learning tensorflow artificial-intelligence supervised-learning classification artificial-neural-networks convolutional-neural-networks support-vector-machine softmax-layer

Updated Sep 26, 2020
Python

jayshah19949596 / Machine-Learning-Models

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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

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm

Updated May 15, 2017
MATLAB

RayDean / MachineLearning

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【火炉炼AI】-机器学习系列文章

machine-learning supervised-learning

Updated Apr 13, 2019
Jupyter Notebook

csinva / imodels

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Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

python data-science demo machine-learning tutorial statistics ai scikit-learn ml artificial-intelligence uncertainty supervised-learning interpretability rule-learning bayesian-rule-lists optimal-classification-tree rulefit imodels

Updated Dec 30, 2020
Jupyter Notebook

tirthajyoti / Interactive_Machine_Learning

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IPython widgets, interactive plots, interactive machine learning

python data-science machine-learning statistics analytics interactive animation scikit-learn jupyter-notebook regression supervised-learning classification

Updated Apr 6, 2019
Jupyter Notebook

zilongzhong / SSRN

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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".

deep-learning supervised-learning hyperspectral-image-classification spectral-spatial-residual-network

Updated May 5, 2018
Python

supervised-learning

Here are 1,396 public repositories matching this topic...

MLEveryday / 100-Days-Of-ML-Code

afshinea / stanford-cs-229-machine-learning

rasbt / mlxtend

ZhaoJ9014 / face.evoLVe.PyTorch

google / uis-rnn

Ceruleanacg / Personae

benedekrozemberczki / karateclub

scorpionhiccup / StockPricePrediction

PyTorchLightning / pytorch-lightning-bolts

Add type annotations

🚀 Feature

Steps to contribute

Progress

Polyaxon Logger

ikergarcia1996 / Self-Driving-Car-in-Video-Games

davidsbatista / Annotated-Semantic-Relationships-Datasets

goncalopp / simple-ocr-opencv

Sergio0694 / NeuralNetwork.NET

toodef / neural-pipeline

vikasverma1077 / manifold_mixup

madhug-nadig / Machine-Learning-Algorithms-from-Scratch

yhyu13 / AlphaGOZero-python-tensorflow

GT-RIPL / L2C

frontbenchHQ / Data-Science-Free

kevinlin311tw / Caffe-DeepBinaryCode

Laurae2 / Laurae

giacbrd / ShallowLearn

mrsaeeddev / free-ai-resources

add free courses and other resources related to AI to the list

koalaverse / homlr

AFAgarap / cnn-svm

jayshah19949596 / Machine-Learning-Models

RayDean / MachineLearning

csinva / imodels

tirthajyoti / Interactive_Machine_Learning

zilongzhong / SSRN

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