Machine learning

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

GitHub: https://github.com/topics/machine-learning
Wikipedia: https://en.wikipedia.org/wiki/Machine_learning
Aliases: machine-learning-algorithms, machine-learning-library, machine-learning-application, machine-learning-models, machinelearning, ml,
Last updated: 2026-07-03 00:18:33 UTC
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https://github.com/mrphys/tensorflow-nufft

Fast, Native Non-Uniform Fast Fourier Transform for TensorFlow

cpp machine-learning ml non-uniform-fast-fourier-transform nufft python tensorflow

Last synced: 09 Oct 2025

https://github.com/trykatchup/password-similarity-nlp

Password Similarity Detection Using Deep Neural Networks. This project was the case study of my bachelor's thesis.

deep-neural-networks fasttext machine-learning nlp-machine-learning password password-similarity privacy privacy-protection word-embeddings

Last synced: 08 Oct 2025

https://github.com/smith42/neuralnet-mcg

CNN to diagnose heart disease in ECG and MCG patients

cnn ecg machine-learning mcg mcg-devices

Last synced: 27 Oct 2025

https://github.com/a2i2/surround

Surround is a framework for building AI driven microservices in Python, https://surround.readthedocs.io/en/latest/

data-science machine-learning model-serving pipeline-framework python

Last synced: 14 Jan 2026

https://github.com/audiolabs/sndb

The Single Note Database, containing 30883 samples of 11 instruments from 4 datasets.

database machine-learning

Last synced: 14 Mar 2026

https://github.com/boschresearch/meta-adversarial-training

Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.

adversarial-attacks adversarial-examples bcai machine-learning meta-learning

Last synced: 07 Oct 2025

https://github.com/lukehollis/three-mlagents

Three.js + Torch implementation of Unity's ML-Agents framework for agent training and visualization in browser

deep-learning deep-reinforcement-learning machine-learning neural-networks reinforcement-learning three-js threejs torch

Last synced: 16 Oct 2025

https://github.com/karimabousselham/islp-applied-solutions

Solutions of applied exercises contained in "An Introduction to Statistical Learning with Applications in Python", by Tibshirani et al, edition 2023

applied-exercises classification clustering deep-learning exercise islp machine-learning multiple-testing python python-codes regression resampling-methods self-learning shrinkage-approaches statistical-learning support-vector-machines survival-analysis tree-based-methods

Last synced: 02 Mar 2026

https://github.com/phaetto/selenium-reinforcement-learning

Training selenium agents to simplify UI navigation and reliability

machine-learning reinforcement-learning selenium selenium-webdriver ui-testing

Last synced: 30 Jan 2026

https://github.com/aajanki/sequence-classification

Scikit-learn compatible sequence classifier

machine-learning scikit-learn sequence-classification

Last synced: 17 Mar 2026

https://github.com/kf5i/k3ai-core

K3ai-core is the core library for the GO installer. Go installer will replace the current bash installer

argo artificial-intelligence continuous-integration data-science golang k3s kubeflow kubernetes-deployment machine-learning machinelearning ml pipeline

Last synced: 14 Jan 2026

https://github.com/mlr-org/mlr3db

Data Backends to let mlr3 work transparently with (remote) data bases

bigquery data-backend database duckdb machine-learning mariadb mlr3 mysql odbc postgresql r r-package spark sqlite

Last synced: 28 Feb 2026

https://github.com/ottenbreit-data-science/aplr

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.

ai aplr automatic-piecewise-linear-regression classification explainable-ai explainable-boosting generalized-linear-models glm gradient-boosting interpretability interpretable-ai interpretable-machine-learning interpretable-ml linear-regression machine-learning piecewise-regression regression scikit-learn segmented-regression transparency

Last synced: 25 Apr 2026

https://github.com/gcordido/learning-ai-with-copilot

Repository for the Learning AI with GitHub Copilot video series.

ai artificial-intelligence computer-vision copilot copilot-tutorial jupyter-notebook machine-learning ml python pytorch

Last synced: 28 Apr 2026

https://github.com/anthonymrios/leml

Method for large-scale multi-label classification

big-data machine-learning python

Last synced: 09 Jul 2025

https://github.com/bbva/data-refinery

Data transformation

data data-science datascience etl etl-pipeline machine-learning

Last synced: 21 Jun 2025

https://github.com/pierrenodet/spark-ensemble

Ensemble Learning for Apache Spark 🌲

bagging boosting ensemble-learning gbm machine-learning scala spark spark-ml stacking

Last synced: 29 Oct 2025

https://github.com/bighuang624/ml-beginning-projects

基础的机器学习项目集，包含数据预处理、模型评估与选择、可视化以及分类算法等

classification machine-learning

Last synced: 06 May 2025

https://github.com/davisidarta/fastlapmap

Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's implementation and escalates linearly beyond 10e6 samples.

denoising dimensionality-reduction embedding feature-engineering laplacian-eigenmaps machine-learning multithreading python scikit-learn

Last synced: 10 Apr 2025

https://github.com/hughrawlinson/wekinator-node

An SDK to interface with Wekinator over OSC

hacktoberfest library machine-learning online-learning real-time-machine-learning wekinator wekinator-node

Last synced: 13 Apr 2025

https://github.com/posterior/treecat

A Bayesian latent tree model of high-dimensional heterogeneous data

bayesian machine-learning mcmc python unsupervised-learning

Last synced: 29 Oct 2025

https://github.com/macournoyer/nn.rb

A toy Neural Network in Ruby

machine-learning neural-network tutorial

Last synced: 05 May 2025

https://github.com/pooya-mohammadi/today-i-learned

Today I learned contains Q&A of what I have learned so far. It encompasses topics like: python, deep-learning, cuda-installation, docker, git, linux, etc.

deep-learning docker docker-compose git github linux machine-learning nginx nlp python speech tensorflow ubuntu

Last synced: 17 Jun 2025

https://github.com/atharvaaalok/deepfusion

A highly modular and customizable Deep Learning framework.

deep-learning machine-learning neural-network python

Last synced: 18 Jul 2025

https://github.com/yaak-ai/rbyte

Multimodal datasets for spatial intelligence

ai datasets machine-learning mcap polars pytorch rerun robotics spatial-intelligence tensordict

Last synced: 24 Oct 2025

https://github.com/hoxo-m/densratio

R Package for Density Ratio Estimation

anomalydetection machine-learning machine-learning-algorithms machine-learning-library r-language r-package statistics

Last synced: 19 Feb 2026

https://github.com/the-database/traiNNer-redux

Deep learning training framework for image super resolution and restoration.

deep-learning image-restoration machine-learning neural-network python pytorch super-resolution upscale

Last synced: 06 Mar 2025

https://github.com/kosasih/quantumnexus-core

The QuantumNexus-Core repository is the foundational codebase for the Quantum Nexus project, designed to support the most advanced high-tech ecosystem in the universe.

artificial-intelligence decentralization decentralized machine-learning machine-learning-algorithms quantum quantum-computing quantum-nexus

Last synced: 14 Apr 2025

https://github.com/wearepal/ethicml

Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency

algorithmic-fairness computer-vision data-science ethical-artificial-intelligence ethical-data-science fairness fairness-ai fairness-assessment fairness-awareness-model fairness-comparison fairness-ml machine-bias machine-learning pytorch responsible-ai toolkit

Last synced: 21 Aug 2025

https://github.com/bolajiayodeji/deploy-ml-web-workshop

In this workshop, you will learn how to build a machine learning model using Python/Scikit-Learn, turn the model into an API using Python/Flask, test the API, build web applications using HTML/CSS/JavaScript/Nextjs, and deploy it to the web for global usage by end-users.

api flask flyio javascript machine-learning nextjs postman python reactjs serverless workshop

Last synced: 10 Nov 2025

https://github.com/kylecorry31/ml4k-ai-extension

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

aix appinventor appinventorextension classification classifier image-classification image-classifier machine-learning machine-learning-for-kids ml4k text-classification text-classifier

Last synced: 30 Jul 2025

https://github.com/kudoai/ai-personas

💬 1,200+ AI personas for LLMs and agents.

ai artificial-intelligence chatbot chatgpt claude gemini genai genaistack kudoai llm llms machine-learning natural-language-processing nlp openai prompt prompt-engineering prompt-toolkit prompts-template roleplay

Last synced: 29 May 2026

https://github.com/thundergolfer/insults

Detect whether a social media comment is insulting or derogatory

kaggle linear-model machine-learning natural-language-processing sklearn social-media

Last synced: 06 Oct 2025

https://github.com/chenyangkang/stemflow

A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)

adaptive-spatio-temporal-exploratory-model animal animal-movement big-data biodiversity biogeography bird-migration bird-survey ebird ecology ecology-modelling geospatial machine-learning movement movement-ecology ornithology spatio-temporal-analysis spatiotemporal spatiotemporal-dynamics species-distribution-modeling

Last synced: 07 Oct 2025

https://github.com/dbklim/russian_subtitles_dataset

Preprocessing of the dataset of 347 subtitles for the TV series (thanks to Taiga Corpus) to build a word2vec model, JamSpell model, neural network training, chat bot training or in any other NLP task.

bot cnn corpus dataset lstm machine-learning ml natural-language-processing nlp nlu rnn russian subtitles text text-analysis text-processing word2vec

Last synced: 29 Apr 2025

https://github.com/mlops-ai/mlops

Open-source tool for tracking & monitoring machine learning models.

ai data-science machine-learning mlflow mlops neptune python

Last synced: 14 Jan 2026

https://github.com/bretttolbert/verbecc-svc

Dockerized Python microservice with REST API for verbs conjugation in French, Spanish and Portuguese

conjugation conjugator french french-language french-nlp linguistics machine-learning natural-language natural-language-processing nlp portuguese-language portuguese-verbs romanian romanian-language scikit-learn spanish-language spanish-verbs verb-conjugation

Last synced: 28 Feb 2026

https://github.com/vi3k6i5/learning_ml

I am teaching a Learning ML workshop for some folks @ Belong.co. Creating this repo to organise the course material.

keras keras-tutorials machine-learning machine-learning-tutorials tensorflow tensorflow-tutorials

Last synced: 02 Apr 2026

https://github.com/ledell/cvauc

Computationally efficient confidence intervals for cross-validated AUC estimates in R

auc confidence-intervals cross-validation machine-learning r statistics variance

Last synced: 08 Oct 2025

https://github.com/guap-ml/guap

Open-source evaluation metric for linking Machine Learning model outputs with Business outcomes

evaluation-metrics machine-learning python

Last synced: 14 Jan 2026

https://github.com/zohebabai/deep-learning-projects

Best Deep Learning Projects for Advanced Learners

cnn computer-vision deep-learning gans jax keras machine-learning neural-network nlp pytorch tensorflow transfer-learning transformers tutorial vae

Last synced: 03 Jul 2025

https://github.com/sap-samples/btp-data-to-value-workshop

This repo contains a dataset, exercises, and sample code for an end-to-end SAP BTP data-to-value bootcamp covering SAP HANA Cloud, SAP Data Warehouse Cloud, SAP Data Intelligence Cloud, and SAP Analytics Cloud.

advanced-analytics analytics data-management data-orchestration data-science data-to-value machine-learning predictive-planning sample sample-code sap-analytics-cloud sap-btp sap-data-intelligence-cloud sap-data-warehouse-cloud sap-hana-cloud workshop

Last synced: 13 Apr 2025

https://github.com/devinterview-io/cnn-interview-questions

🟣 CNN interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

ai-interview-questions cnn cnn-interview-questions cnn-questions cnn-tech-interview coding-interview-questions coding-interviews data-science data-science-interview data-science-interview-questions data-scientist-interview interview-practice interview-preparation machine-learning machine-learning-and-data-science machine-learning-interview machine-learning-interview-questions software-engineer-interview technical-interview-questions

Last synced: 08 Jan 2026

https://github.com/vessl-ai/tvault

Quickly compare PyTorch models in a local, lightweight registry

deep-learning machine-learning mlops pytorch

Last synced: 04 Sep 2025

https://github.com/aleksei-mashlakov/multivariate-deep-learning

This repository contains the source code utilised for the paper: "Assessing the performance of deep learning models for multivariate probabilistic energy forecasting"

datasets forecasting machine-learning time-series

Last synced: 02 Apr 2025

https://github.com/donutloop/machine-learning-research-papers

Collection of machine learning research paper references

deep-learning deep-neural-networks gradient-descent machine-learning research-paper

Last synced: 26 Jan 2026

https://github.com/jphall663/diabetes_use_case

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

data-mining data-science explainable-ml healthcare iml interpretability interpretable-machine-learning interpretable-ml machine-learning machine-learning-interpretability python transparency xai xgboost

Last synced: 19 Jul 2025

https://github.com/hibayesian/spark-word2vec

A parallel implementation of word2vec based on Spark

machine-learning spark word2vec

Last synced: 15 Jul 2025

https://github.com/matthewhaynesonline/ai-for-web-devs

This project provides code to accompany the "AI and ML for Web Devs" video series, focusing on teaching AI and ML concepts through hands-on projects tailored for web developers.

machine-learning tutorial webdevelopment

Last synced: 08 Aug 2025

https://github.com/hybrid-kg/clep

🤖 A Python Package for generating new patient representations driven by data and prior knowledge

bioinformatics embeddings hybrid-data knowledge-driven-framework knowledge-graph knowledge-graph-embeddings machine-learning patient-data

Last synced: 21 Jul 2025

https://github.com/da03/residual-ebm

Code for Residual Energy-Based Models for Text Generation in PyTorch.

machine-learning nlp

Last synced: 21 Mar 2025

https://github.com/tirthajyoti/tirthajyoti.github.io

Tirthajyoti's Home Page about machine learning, statistics, analytics

algorithm analytics deep-learning machine-learning neural-network python r statistics

Last synced: 18 Jul 2025

https://github.com/nasaharvest/kenya-crop-mask

Annual and in-season crop mapping in Kenya

agriculture machine-learning remote-sensing

Last synced: 06 Mar 2026

https://github.com/axiscommunications/axis-model-zoo

Collection of machine learning models to use in Axis cameras

axis camera computer-vision machine-learning

Last synced: 25 Jun 2025

https://github.com/voletiv/2017-iiith-summer-school-notes

My notes during the 2017 IIIT Hyderabad Summer Schools on Computer Vision and Machine Learning

computer-vision deep-learning lecture-notes machine-learning summer-school

Last synced: 19 Jan 2026

https://github.com/eperrier/quant-geom-machine-learning

datasets deep-learning geodesic geometry gru machine-learning paper python quantum quantum-circuits quantum-computing quantum-control quantum-machine-learning simulations

Last synced: 31 Jan 2026

https://github.com/mcvickerlab/varca

Use an ensemble of variant callers to call variants from ATAC-seq data

atac-seq-data machine-learning random-forest snakemake variant-calling

Last synced: 01 Apr 2026

https://github.com/saltudelft/many-types-4-py-dataset

ManyTypes4Py: A benchmark Python dataset for machine learning-based type inference

benchmark clean dataset machine-learning manytypes4py msr mt4py python type-annotations type-checked type-inference visible-type-hints

Last synced: 01 Feb 2026

https://github.com/joshloyal/dynetlsm

DynetLSM: latent space models for dynamic networks

bayesian-inference dynamic-networks machine-learning network-analysis network-embedding

Last synced: 08 Feb 2026

https://github.com/dachosen1/data-science-guides-

Collections of data science guides

cheatsheet data-science machine-learning programming-language

Last synced: 24 Jan 2026

https://github.com/afshinm/semantic-kernel-js

Semantic Kernel for JavaScript

ai chatgpt llm machine-learning

Last synced: 14 Oct 2025

https://github.com/avhirupc/semantic-image-completion

Implementation of : Semantic Image Inpainting with Perceptual and Contextual Losses Raymond

computer-vision deep-learning deep-neural-networks image-inpainting machine-learning python tensorflow-experiments

Last synced: 29 Oct 2025

https://github.com/rishit-dagli/10-days-of-ml

Repository for 10 Days of ML

machine-learning tensorflow tensorflow-experiments tensorflow-tutorials

Last synced: 23 Oct 2025

https://github.com/comic/evalutils

evalutils helps users create extensions for grand-challenge.org

docker machine-learning pandas python36 scikit-learn simpleitk

Last synced: 23 Oct 2025

https://github.com/dvorakdwarf/witness-of-babel

An AI trained trained for the purpose of finding art in the near infinite Canvas of Babel

conceptual convolutional-neural-networks deep-learning machine-learning noise python pytorch

Last synced: 11 Apr 2025

https://github.com/xxrjun/cs-resources

[大改版中] 💻 一些資訊資工領域相關的學習資源、開發工具、推薦頻道。CS resources including developer tools. programming languages, interviews and youtube channels...and so on.

computer-science cs interview knowledge llm machine-learning mis programming quantum-computing resources tools web-development youtube-channel

Last synced: 28 Oct 2025

https://github.com/aryarm/varca

Use an ensemble of variant callers to call variants from ATAC-seq data

atac-seq-data machine-learning random-forest snakemake variant-calling

Last synced: 11 Apr 2025

https://github.com/rekalantar/covid19_detector

Using Deep Learning to detect Covid-19 from X-Ray/CT scans of patients

artificial-intelligence computer-vision coronavirus covid-19 deep-learning machine-learning pandemic

Last synced: 05 May 2025

https://github.com/tmptrash/construct

JavaScript Digital Organisms simulator

ai artificial-intelligence bytecode canvas2d digital-organisms distributed-computing distributed-systems es6 evolution-simulation genetic-algorithm genetic-programming javascript linear-genetic-programming machine-learning nodejs opensource programming-language research virtual-machine websockets

Last synced: 09 Jul 2025

https://github.com/junzis/atdelay

Air Traffic Delays Prediction Models

airport airtraffic delays machine-learning neural-network

Last synced: 10 Apr 2025

https://github.com/drbh/nnli

🔭 interactively explore `onnx` networks in your CLI.

ai cli machine-learning neural-network onnx science

Last synced: 17 Jun 2025

https://github.com/thalesgroup/conceptbert

Implementation of ConceptBert: Concept-Aware Representation for Visual Question Answering

ai machine-learning

Last synced: 17 Mar 2025

https://github.com/kyegomez/mm1

PyTorch Implementation of the paper "MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"

ai artificial-intelligence deep-learning gpt4 machine-learning ml mm1 multi-modal multi-modal-revolution multi-modality

Last synced: 15 Apr 2025

https://github.com/anish-agnihotri/just-law

Legal document search engine to provide new insight into document representation and retrieval. Built with Java, JavaScript, SMMRY API + NLP.

canlii insights machine-learning natural-language-processing search-engine tomcat-server

Last synced: 12 Apr 2025

https://github.com/mrtkp9993/deeplearningexamples

Deep learning examples with Python and Tensorflow & Keras.

artificial-intelligence classification colab convolutional-neural-networks data-science deep-learning deep-learning-example deep-neural-networks deeplearningexamples dense-neural-network keras machine-learning python python3 regression tensorflow

Last synced: 07 May 2025

https://github.com/experiencor/online-machine-learning

Implementation of an online learning algorithm to do classification under concept drift

follow-the-regularized-leader machine-learning online-learning-algorithms proximal-regularization

Last synced: 15 Apr 2025

https://github.com/ajshajib/dolphin

Automated pipeline for lens modelling based on lenstronomy

ai artificial-intelligence astronomy astrophysics automated-modeling automated-pipeline cosmology galaxies gravitational-lensing lenstronomy machine-learning neural-network strong-lensing

Last synced: 20 Feb 2026

https://github.com/lucadellalib/bdl-rul-svgd

Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent

bayes-by-backprop bayesian-deep-learning bayesian-inference bayesian-neural-networks c-mapss deep-learning machine-learning predictive-maintenance python pytorch remaining-useful-life stein-variational-gradient-descent variational-inference

Last synced: 01 Sep 2025

https://github.com/syrte/robustgp

Robust Gaussian Process with Iterative Trimming

gaussian-processes gpy itgp machine-learning nonlinear-regression outlier-detection python regression robust-regresssion robust-statistics

Last synced: 07 Aug 2025

https://github.com/Ritvik19/Data-Science-From-Scratch

Implementation of various data science techniques and research papers

artificial-neural-networks classification computer-vision convolutional-neural-network data-science deep-learning generative-adversarial-network machine-learning natural-language-processing natural-language-understanding recurrent-neural-networks regression transfer-learning transformer

Last synced: 02 Nov 2025

https://github.com/victorqribeiro/digitRecognition

Implementation of a digit recognition using my Neural Network with the MNIST data set.

classification javascript machine-learning mnist multilayer-perceptron neural-network

Last synced: 15 Mar 2025

https://github.com/oscarknagg/raw-audio-gender-classification

Machine learning experiment to perform gender classification from raw audio.

audio convolutional-neural-networks gender-classification machine-learning pytorch speech

Last synced: 10 Aug 2025

https://github.com/noppoman/python-metal-benchmark

An experimental repo for accessing Metal API from Python (OSX Only)

deep-learning gpu machine-learning macos metal

Last synced: 19 Feb 2026

https://github.com/hxlnt/video-indexer

🎥 Node module for the Microsoft Cognitive Services Video Indexer API.

ai cognitive-services machine-learning node-js video

Last synced: 11 Sep 2025

https://github.com/mohnkhan/free_machine_learning_deep_learning_ann_books

Free, Machine Learning, Deep Learning, Artificial Neural Networks, Books, Ebooks. RNN., CNN. TDNN,

artificial-intelligence artificial-neural-networks deep-learning machine-learning

Last synced: 26 Jun 2026

https://github.com/gugarosa/nalp

🗣️ NALP is a library that covers Natural Adversarial Language Processing.

adversarial-learning machine-learning natural-language-processing python tensorflow2

Last synced: 11 Sep 2025

https://github.com/nextflow-io/hyperopt

Nextflow pipeline for hyperparameter optimization of machine learning models

machine-learning nextflow

Last synced: 28 Jun 2025

https://github.com/aakashjhawar/handwritten-digit-recognition

This project demonstrates Handwritten digit recognition using Deep Learning

artificial-intelligence convolutional-neural-networks deep-learning digit-recognition handwritten-digit-recognition image-processing keras machine-learning neural-network number-detection number-recognition ocr ocr-recognition ocr-text-reader optical-character-recognition python

Last synced: 24 Oct 2025

https://github.com/sahasourav17/student-anxiety-and-depression-prediction

A ML project specifically build for predicting students' mental health

anxiety-prediction bigru bilstm dataset deep-learning depression-detection kaggle-dataset machine-learning rnn-tensorflow streamlit-webapp

Last synced: 05 Mar 2026

https://github.com/kennethleungty/anomaly-detection-pipeline-kedro

Anomaly Detection Pipeline with Isolation Forest model and Kedro framework

anomaly anomaly-detection credit-card credit-card-fraud data-science data-science-pipeline financial financial-data fraud fraud-detection kedro machine-learning machine-learning-pipeline ml mlops pipelines quantumblack

Last synced: 12 Jul 2025

https://github.com/waltonfuture/Diff-eRank

Code for https://arxiv.org/abs/2401.17139 (NeurIPS 2024)

evaluation-metrics llm llm-inference machine-learning mllm neurips-2024

Last synced: 19 Jul 2025

https://github.com/kaslanarian/liblinear-sc-reading

LIBLINEAR理论与源码解读（已完结）

cpp liblinear linear-models machine-learning optimization source-code svm

Last synced: 08 May 2025

https://github.com/drakkar-software/octobot-script

Quant framework by OctoBot

ai backtesting cryptocurrency deep-learning exchange machine-learning ml octobot python quant reinforcement-learning technical-analysis

Last synced: 10 Apr 2025

https://github.com/xanaduai/constrained-quantum-learning

This repository contains the source code used to produce the results presented in the paper "Near-deterministic production of universal quantum photonic gates enhanced by machine learning".

machine-learning optimization photonics quantum quantum-computing quantum-machine-learning quantum-optics