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neural-networks

Here are 259 public repositories matching this topic...

Spandan-Madan / DeepLearningProject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

machine-learning tutorial deep-learning neural-networks

Updated Jan 15, 2023
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SciML / SciMLBook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

performance-engineering parallelism neural-networks differential-equations gpu-computing numerical-methods lecture-notes neural-ode scientific-machine-learning neural-sde stiff-equations scientific-simulators sciml

Updated Sep 21, 2025
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greenelab / deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

review deep-learning genomics neural-networks manuscript manubot

Updated Dec 25, 2022
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maxim5 / cs229-2019-summer

All notes and materials for the CS229: Machine Learning course by Stanford University

machine-learning stanford-university neural-networks cs229

Updated Aug 15, 2021
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MisaOgura / flashtorch

Visualization toolkit for neural networks in PyTorch! Demo -->

visualization machine-learning deep-learning cnn pytorch neural-networks interpretability explainability

Updated Sep 21, 2023
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outlace / outlace.github.io

Machine learning and data science blog.

blog machine-learning reinforcement-learning deep-learning neural-networks

Updated Sep 10, 2023
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TUT-ARG / DCASE2017-baseline-system

DCASE 2017 Baseline system

machine-learning neural-networks dcase

Updated Jun 26, 2020
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mitmath / 18S096SciML

18.S096 - Applications of Scientific Machine Learning

neural-networks partial-differential-equations differential-equations lecture-notes neural-ode scientific-machine-learning sciml

Updated Apr 26, 2022
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speechbrain / speechbrain.github.io

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Updated Jun 18, 2025
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Wittline / Dropout-Students-Prediction

The goal of this project is to identify students at risk of dropping out the school

r genetic-algorithm neural-networks k-means k-means-clustering

Updated May 7, 2021
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tromgy / simple-neural-networks

A set of Jupyter notebooks implementing simple neural networks described in Michael Nielsen's book.

python neural-network jupyter jupyter-notebook python3 neural-networks jupyter-notebooks neural neural-networks-from-scratch

Updated Sep 26, 2021
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shik3519 / collaborative-filtering

Implementation of collaborative filtering using fastai and pytorch

pytorch embeddings collaborative-filtering neural-networks t-sne fastai movielens

Updated Jun 24, 2018
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Machine-Learning

arjunan-k / Machine-Learning

Machine Learning Specialization by Andrew Ng in collaboration between DeepLearning.AI and Stanford Online in Coursera.

data-science deep-learning tensorflow neural-networks

Updated Jan 14, 2023
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SAMY-ER / Multi-View-Image-Classification

This repository presents a couple of approaches to the problem of multi-view image classification. I faced this challenge during a hackathon in which I participated, and decided to share my code here. I've also written a Medium article to provide further details and explanations. Feel free to check it out !

python tutorial computer-vision pytorch neural-networks image-classification hackathon-project multi-view-cnn

Updated Mar 1, 2020
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MLPlatformWebsite / website

This repo contains the static Jekyll website source for MlPlatform.org

arm ml artificial-intelligence neural-networks artificial-neural-networks

Updated Oct 14, 2025
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UWNETLAB / dcss_supplementary

Supplementary materials for McLevey 2021 Doing Computational Social Science (Sage, UK).

machine-learning natural-language-processing network-science text-analysis neural-networks network-analysis embedding-models bayesian-data-analysis bayesian-statistics computational-social-science tranfer-learning

Updated Aug 13, 2024
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greenelab / DAPS

Denoising Autoencoders for Phenotype Stratification

machine-learning analysis neural-networks methodology autoencoders

Updated Nov 9, 2018
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anantSinghCross / boston-housing-price-prediction

Training and Deployment of model which predicts house prices around Boston using Neural Networks (keras)

machine-learning prediction dataset neural-networks perceptron boston predicting-housing-prices boston-dataset

Updated Jun 27, 2019
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derekdjia / AI_Generated_Recipes

Capstone Project: AI Generated Recipes

food data-science neural-networks

Updated Apr 11, 2019
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kroudir / AI-programming-with-python-nanodegree-final-project

Final Project of the Udacity AI Programming with Python Nanodegree

python ai deep-learning pytorch neural-networks image-classification udacity-nanodegree

Updated Apr 5, 2020
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