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.

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

Updated Jul 27, 2021
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

code-kern-ai / refinery

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The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

Updated Feb 16, 2023
Python

csinva / imodels

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

python rules data-science machine-learning statistics ai scikit-learn ml artificial-intelligence supervised-learning interpretability explainable-ai explainable-ml rule-learning optimal-classification-tree rulefit imodels bayesian-rule-list

Updated Mar 2, 2023
Jupyter Notebook

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 Jun 21, 2022
Jupyter Notebook

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 Jan 7, 2023
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 Jul 7, 2021

Minqi824 / ADBench

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Official Implement of "ADBench: Anomaly Detection Benchmark".

python benchmark machine-learning data-mining deep-learning neural-networks supervised-learning semi-supervised-learning ensemble-learning outlier-detection unsupervised-learning anomaly-detection data-sicence

Updated Nov 2, 2022
Python

Sergio0694 / NeuralNetwork.NET

Sponsor

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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 Dec 8, 2022
C#

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 Sep 7, 2022
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

achuthasubhash / Complete-Life-Cycle-of-a-Data-Science-Project

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Complete-Life-Cycle-of-a-Data-Science-Project

Updated Mar 5, 2023

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

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Implementing machine learning algorithms from scratch.

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

Updated Sep 11, 2021
Python

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