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: 2026-07-07 00:18:54 UTC
- JSON Representation
https://github.com/adilzouitine/outfit
:dress: Tidy up your machine learning experiments
Last synced: 11 Apr 2025
https://github.com/sql-hkr/syna
Syna is a lightweight machine learning framework inspired by DeZero.
framework machine-learning reinforcement-learning
Last synced: 14 May 2026
https://github.com/shehzeen/waveguard_defense
This is the codebase for defense framework described in USENIX '21 paper "WaveGuard: Understanding and Mitigating Audio Adversarial Examples"
adversarial-machine-learning audio defense-methods machine-learning
Last synced: 30 Apr 2025
https://github.com/thomasathorne/clj-stan
A library to interface with STAN.
bayesian-inference machine-learning stan
Last synced: 21 Feb 2026
https://github.com/euclidstellar/team-management-app
A Flutter team management app that can be used for multiple purpose of managing workflow between teams to make it efficient : web version below
chat chat-application crm-app crm-application crm-platform leadership machine-learning resource-management team team-management team-management- team-members team-platform teamwork-projects
Last synced: 24 Apr 2025
https://github.com/anishLearnsToCode/ml-stanford
Machine Learning Course by Stanford on Coursera (Andrew Ng)
andrew-ng classification coursera logistic-regression machine-learning ml regression stanford
Last synced: 31 Mar 2025
https://github.com/analogdevicesinc/max78xxx-refdes
MAX78000 and MAX78002 Reference Designs
ai analog-devices artificial-intelligence deep-learning machine-learning max78000 max78002 maxim maxim-integrated
Last synced: 22 Apr 2025
https://github.com/nazanin1369/datamining-knn
Implement KNN classification algorithm in Python
knn-classification machine-learning
Last synced: 23 Mar 2025
https://github.com/iterative/studio-support
❓ DVC Studio Issues, Question, and Discussions
data-science dvc machine-learning mlops support
Last synced: 04 Feb 2026
https://github.com/uscbiostats/pm566
USC's Introduction to Health Data Science
course course-materials data-science datascience dataviz machine-learning rstats webscraping
Last synced: 07 Mar 2026
https://github.com/opensourceai/spark-plan
星火计划-做AI领域的独家，所有文章旨在技术传播和交流学习，非商业用途。
ai depplearning machine-learning python
Last synced: 01 Sep 2025
https://github.com/lightly-ai/lightly-train
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
computer-vision contrastive-learning deep-learning distillation embeddings machine-learning pretrained-models python pytorch self-supervised self-supervised-learning
Last synced: 18 Apr 2025
https://github.com/pourmand1376/PersianCrawler
Open source crawler for Persian websites.
crawler machine-learning news python scrapy tasnim text-classification
Last synced: 09 Jul 2025
https://github.com/jakecyr/gpt-text-to-diagram
Generate software design diagram images from plain text using GPT models.
chatgpt gpt machine-learning nodejs openai software-design software-engineering
Last synced: 16 Apr 2025
https://github.com/kennethleungty/finance-llms
Comprehensive Compilation of Real-World LLM Implementation in Financial Services
artificial-intelligence banking bloomberggpt deep-learning domain-specific-models finance finance-llm finance-llms financial-services fine-tuning fingpt gen-ai genai generative-ai gpt insurance large-language-model large-language-models llm machine-learning
Last synced: 02 Jan 2026
https://github.com/wondervictor/traffic_prediction
Traffic Prediction in PaddlePaddle (ASC17 Deep Learning Application)
deep-learning deep-neural-networks machine-learning predictive-analysis
Last synced: 15 Apr 2025
https://github.com/kujenga/goml
Experimental ML implementations in Go
go machine-learning mnist neural-networks
Last synced: 06 May 2025
https://github.com/targene/tmle.jl
A Julia implementation of the Targeted Minimum Loss-based Estimation
causal-inference double-robust julia machine-learning non-parametric-statistics statistics targeted-learning tmle
Last synced: 27 Jul 2025
https://jinglescode.github.io/reinforcement-learning-tic-tac-toe/
A reinforcement learning algorithm for agents to learn the tic-tac-toe, using the value function.
javascript machine-learning reinforcement-learning
Last synced: 14 Mar 2025
https://github.com/lucko515/breast-cancer-classification
This project is to test classification algorithms wrote from scratch in python using only numpy. Algorithms wrote in this project: KNN, Logistic Regression and Naive Bayes classifier.
breast-cancer-wisconsin classification classification-algorithims machine-learning
Last synced: 14 Apr 2025
https://github.com/joerihermans/constraining-dark-matter-with-stellar-streams-and-ml
Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.
astrophysics dark-matter deep-learning likelihood-free-inference machine-learning simulation-based-inference
Last synced: 21 Sep 2025
https://github.com/cschoeller/pycandle
Lightweight library for executing PyTorch experiments without boilerplate code.
deep-learning machine-learning neural-networks python pytorch
Last synced: 09 Apr 2026
https://github.com/MilaNLProc/bertlang
A web interface to understand language-specific BERT-models
artificial-intelligence bert-model machine-learning nlp nlp-machine-learning
Last synced: 23 Aug 2025
https://github.com/poloclub/gam-coach
Personal coach to help you obtain desired AI decisions!
counterfactual-explanations generalized-additive-models integer-programming interactive-visualizations machine-learning recourse visualization
Last synced: 01 Aug 2025
https://github.com/elenamer/ecg_classification_dl
ECGDL: A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG
arrhythmia-classification ecg machine-learning
Last synced: 09 Aug 2025
https://github.com/neurodata/df-dn-paper
Conceptual & empirical comparisons between decision forests & deep networks
classification decision-trees deep-learning deep-neural-networks machine-learning random-forests
Last synced: 21 Aug 2025
https://github.com/rakibhhridoy/anomalydetectionintimeseriesdata-keras
Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.
anomaly-detection autoencoder autoencoders deep-learning dropout keras lstm machine-learning numpy pandas python regularization tensorflow threshold
Last synced: 26 Feb 2026
https://github.com/h2oai/mlops-dai-runtimes
Production ready templates for deploying Driverless AI (DAI) scorers. https://h2oai.github.io/dai-deployment-templates/
h2o h2oai machine-learning model-deployment model-server model-serving mojo
Last synced: 07 Apr 2025
https://github.com/fablabbcn/smartcitizen-data
A python package for analyzing environmental sensor's data
air-quality data-analysis data-science environmental-monitoring low-cost-sensor machine-learning python sensor-data sensors smartcitizen
Last synced: 13 Jun 2026
https://github.com/IBM/MAX-Review-Text-Generator
Generate English-language text similar to the text in the Yelp® review data set.
docker-image keras machine-learning machine-learning-models
Last synced: 13 May 2025
https://github.com/rattydave/docker-jupyterhub
Multi user Jupyterhub with C++, Java, Python, Tensorflow, Julia, SQL, NodeJS, Bash and more!
beakerx clojure groovy java jupyter-notebook jupyterhub machine-learning scala sql torch
Last synced: 14 Apr 2025
https://github.com/yutkin/news-aggregator
Classification and aggregation of russian news articles. University coursework.
classification coursework machine-learning news news-aggregator nlp university
Last synced: 05 Apr 2025
https://github.com/taejoongyoon/ecg_classification
ECG Classification with Tensorflow
ecg machine-learning tensorflow
Last synced: 06 Apr 2025
https://github.com/ashishpatel26/kubeflow-installation-on-windows-10
Kubeflow installation on windows 10/11
deep-learning docker docker-setup kubeflow kubernetes machine-learning minikube minikube-cluster minikube-setup mlflow mlops
Last synced: 14 May 2025
https://github.com/oelmekki/postgres-350d
Docker build of postgresql changing the dimension limit for the cube extension, raising it to 350
machine-learning postgres postgresql vector-database
Last synced: 01 Aug 2025
https://github.com/linhaowei1/CLoG
✌ CLoG: Benchmarking Continual Learning of Image Generation Models
continual-learning diffusion-models gan generative-model huggingface machine-learning stable-diffusion
Last synced: 27 Mar 2025
https://github.com/shivaylamba/machine-learning-mentorship
Repository for GirlScript Winter Mentorship Programme for Machine Learning
girlscript machine-learning mentorship python
Last synced: 14 Apr 2025
https://github.com/rfonod/deepsleep2
😴 DeepSleep2 is a compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.
cnn computational-efficiency convolutional-networks deep-learning encoder-decoder machine-learning medical-ai multichannel neural-networks physionet polysomnography pytorch segmentation sleep-analysis sleep-apnea sleep-arousals time-series u-net
Last synced: 01 Sep 2025
https://github.com/jmduarte/phys139_239
UCSD PHYS 139/239: Machine Learning in Physics (Winter 2023)
Last synced: 11 Sep 2025
https://github.com/adamjstewart/crop_yield_prediction
:corn: Machine learning model for crop yield prediction
crop-model deep-learning machine-learning neural-network
Last synced: 07 May 2025
https://github.com/florentf9/sparkml-som
:sparkles: Spark ML implementation of SOM algorithm (Kohonen self-organizing map)
clustering machine-learning scalable self-organizing-map som spark spark-ml spark-mllib
Last synced: 06 May 2025
https://github.com/jeffersonqin/yolo-v1-pytorch
⚗ YOLO v1 PyTorch Implementation
deep-learning machine-learning object-detection pytorch yolo yolov1
Last synced: 21 Aug 2025
https://github.com/cea-list/rpcdataloader
A variant of the PyTorch Dataloader using remote workers.
data-science dataloader distributed-computing hpc machine-learning preprocessing pytorch slurm
Last synced: 21 Jun 2025
https://github.com/grtlr/uapca
Uncertainty-aware principal component analysis.
dimensionality-reduction hacktoberfest machine-learning uncertainty visualization
Last synced: 20 Jun 2025
https://github.com/bencevans/camtrapml
📷🦔 CamTrapML Python Library for Detecting, Classifying, and Analysing Camera Trap Imagery.
camera-traps hacktoberfest machine-learning wildlife-conservation
Last synced: 21 Mar 2025
https://github.com/tushartushar/ml4sca
Machine Learning for Source Code Analysis
literature-review machine-learning ml4se software-engineering survey
Last synced: 11 Apr 2026
https://github.com/ilijamihajlovic/coreml-and-vision-with-a-pre-trained-deep-learning-ssd-model
This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several different types of objects in the image. The detections are described by bounding boxes, and for each bounding box, the model also predicts a class.
computer-vision coreml coreml-framework coreml-image-classifier coreml-model coreml-models coreml-vision image-classification image-recognition machine-learning object-detection swift vison
Last synced: 08 Oct 2025
https://github.com/marceariel99/simil-photo
Software to detect and delete similar images in a directory
Last synced: 21 Apr 2025
https://carpentries-incubator.github.io/machine-learning-librarians-archivists/
Introduction to AI for GLAM
beta carpentries-incubator english glam lesson machine-learning
Last synced: 08 May 2025
https://github.com/manasvigoyal/gmail-classification
Extract Emails from Gmail account, convert to Excel file and classify using various classification algorithms.
beautifulsoup classification email-classification excel gmail jupyter-notebooks machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 28 Oct 2025
https://github.com/vishal-v/gsoc-tensorflow-2019
Google Summer of Code 2019 with TensorFlow: Final Work Product
deep-learning google-summer-of-code gsoc-2019 machine-learning stackgan tensorflow tensorflow-models tensorflow2 tinyimagenet
Last synced: 06 May 2025
https://github.com/vvizardev/pumpfun-ai-comment-bot
pumpfun-ai-comment-bot : this comment bot generates ai comments based on user input ( clue: solana ai comment pumpfun bot agent ) solana ai agent
ai bot comment machine-learning pumpfun solana
Last synced: 13 Apr 2025
https://github.com/cpury/pong-rl
Reinforcement Learning with Pong in the Browser via TensorFlow.js
game-development machine-learning reinforcement-learning tensorflowjs tfjs
Last synced: 06 May 2025
https://github.com/burhan-q/ultralytics-snippets
Ultralytics VSCode snippets plugin to provide quick examples and templates of boilerplate code to accelerate your code development and learning.
code-snippets deep-learning developer-tools machine-learning neural-networks object-detection python sam2 segmentation snippets ultralytics vscode vscode-extension yolo yolo11 yolov10 yolov8 yolov9
Last synced: 12 Jun 2025
https://github.com/msesia/conditional-conformal-pvalues
Conditional calibration of conformal p-values for outlier detection.
conformal-prediction false-discovery-rate machine-learning outlier-detection statistics
Last synced: 30 Oct 2025
https://github.com/JunlinHan/CropMix
Code of CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
computer-vision contrastive-learning data-augmentation deep-learning image-classification machine-learning masked-image-modeling representation-learning self-supervised-learning
Last synced: 06 May 2025
https://github.com/afathi/turicreate-notebooks
Demonstrating how to create custom Core ML models 👾🤖
computer-vision coreml ios machine-learning macos python watchos
Last synced: 04 Apr 2025
https://github.com/adelrizq/orchestra
Orchestra is a sheet music reader (optical music recognition (OMR) system) that converts sheet music to a machine-readable version.
adelrizq binarization hemdan image-processing machine-learning machine-readable mahboub noise-removal omr omr-sheet optical-character-recognition optical-music-recognition segmentation
Last synced: 05 May 2025
https://github.com/socaity/fasttaskapi
Create web-APIs for long-running tasks. Job based task handling. Get the result with the job id later. FastTaskAPI creates threaded jobs and job queues on the fly. Router functionality for Runpod. Run services anywhere, be it local, hosted or serverless.
azure-blob-storage celery deployment fastapi job-queue json machine-learning openapi rest runpod s3-storage starlette threading uvicorn
Last synced: 17 Jul 2025
https://github.com/ssydasheng/gpflow-slim
customized GPflow with simple Tensorflow API
gaussian-processes machine-learning
Last synced: 11 Sep 2025
https://github.com/justinjjlee/nhl-analytics
Data science analyses delving into National Hockey League (NHL) ice hockey statistics
bayesian-inference bayesian-optimization hidden-markov-model julia julia-language machine-learning nhl nhl-data python sports sports-analytics sports-stats time-series visualization
Last synced: 05 May 2025
https://github.com/zhenye-na/coursera-ml
💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.
andrew-ng andrew-ng-course andrew-ng-machine-learning anomaly-detection coursera decision-trees deep-learning deep-neural-networks kernel-functions linear-regression logistic-regression machine-learning principal-component-analysis support-vector-machines
Last synced: 02 May 2025
https://github.com/deepset-ai/haystack-home
Website for Haystack, the open source LLM framework
blog llm machine-learning nlp open-source
Last synced: 12 Apr 2025
https://github.com/progamergov/pytorch-convis
A tool to visualize convolutional layer activations on an input image.
cnn convis heatmap machine-learning network-in-network neural-style-pt nin pytorch vgg vision visualisation visualization
Last synced: 19 Mar 2025
https://github.com/danieleds/torchrc
An organized collection of Reservoir Computing models and techniques that is well-integrated within the PyTorch API.
echo-state-networks library machine-learning neural-networks pytorch recurrent-neural-networks reservoir-computing rnn
Last synced: 14 Apr 2025
https://github.com/motapinto/football-classification-predications
Supervised Learning Models used to predict outcomes of football matches
artificial-intelligence decision-tree deep-neural-network gradient-boosting k-nearest-neighbours machine-learning naive-bayes neural-network supervised-learning support-vector-machine
Last synced: 14 Apr 2025
https://github.com/marketcalls/openadvisor
Self Hostable - Personal Machine Learning Based Stock Recommendation Platform
catboost daisyui flask investment-analysis machine-learning python sqlite stock-price-prediction tailwindcss tradingview
Last synced: 13 Aug 2025
https://github.com/dlmacedo/robust-deep-learning
A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.
anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks
Last synced: 08 Oct 2025
https://github.com/jinglescode/reinforcement-learning-tic-tac-toe
A reinforcement learning algorithm for agents to learn the tic-tac-toe, using the value function.
javascript machine-learning reinforcement-learning
Last synced: 15 Apr 2025
https://github.com/anishlearnstocode/ml-stanford
Machine Learning Course by Stanford on Coursera (Andrew Ng)
andrew-ng classification coursera logistic-regression machine-learning ml regression stanford
Last synced: 22 Jul 2025
https://github.com/devmotion/calibrationerrors.jl
Estimation of calibration errors.
calibration julia machine-learning reliability statistics
Last synced: 24 Aug 2025
https://github.com/erupturatis/neuralnetworkplayground
A website in which you can customize, train and visualize changes in your neural networks as they learn. You can also upload your own datasets and change any parameters
backpropagation d3 d3js d3js-graph machine-learning neural-network neural-network-visualization react reactjs rendering visualization
Last synced: 31 Aug 2025
https://github.com/amitkaps/datascience
Build and Deploy Machine Learning Models on the Cloud
cloud data-science machine-learning python
Last synced: 10 Nov 2025
https://github.com/smarttensors/nmfk.jl
Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
blind-source-separation feature-extraction julia machine-learning physics-informed-learning scientific-computing scientific-machine-learning source-identification unsupervised-machine-learning
Last synced: 18 Feb 2026
https://github.com/nmandery/extended-isolation-forest
Rust port of the extended isolation forest algorithm for anomaly detection
anomaly-detection isolation-forest machine-learning
Last synced: 30 Aug 2025
https://github.com/francescosaveriozuppichini/non-max-suppression-in-pytorch
How to implement Non Max Suppression (NMS) in PyTorch
data-science machine-learning programming pytorch-implementation
Last synced: 04 Aug 2025
https://github.com/lucastsutsui/embml
A tool to support using classification models in low-power and microcontroller-based embedded systems.
classification-model classification-models classifier edge-computing edge-machine-learning embedded-systems embml iot-device machine-learning microcontroller microcontrollers scikit-learn tinyml weka
Last synced: 24 Oct 2025
https://github.com/equinor/timeseriesanalysis
Library for dynamic time-series modeling, identification and simulation. Focus on dealing with non-ideal real world datasets, and applications to industrial processes and -pid-feedback loops. Robust and fast for advanced analytics. Built on .NET to run anywhere.
advanced-analytics data-mining digital-twins dynamic-simulations machine-learning mpc-control multivariate-statistics pid-control system-identification time-series
Last synced: 11 Oct 2025
https://github.com/jalajthanaki/stock_price_prediction
DJIA index prices of 10 years and NYtimes news articles headline has been used to predict the DJIA index prices
djia machine-learning predictive-analytics price stock-price-prediction
Last synced: 13 Oct 2025
https://github.com/fzyzcjy/ai_math_paper_list
AI for Mathematics Paper List
deep-learning machine-learning mathematics paper-list
Last synced: 13 Feb 2026
https://github.com/aws-solutions-library-samples/amazon-personalize-online-recommendations-with-google-tag-manager
This Guidance helps businesses build a real-time recommendation pipeline using Amazon Personalize
aws aws-personalize google-tag-manager machine-learning recommendation-system retail-ecomm
Last synced: 24 Oct 2025
https://github.com/cod3licious/simec
Similarity Encoder (SimEc) Neural Network Framework for learning low dimensional similarity preserving representations
deep-learning embeddings machine-learning matrix-factorization neural-network representation-learning
Last synced: 28 Feb 2026
https://github.com/asem000/serket
The ✨Magical✨ JAX ML Library.
jax machine-learning neural-network
Last synced: 07 Oct 2025
https://github.com/ondrejbiza/bandits
Comparison of bandit algorithms from the Reinforcement Learning bible.
machine-learning reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms sutton-book
Last synced: 25 Oct 2025
https://github.com/sayansomya/fire-and-smoke-detection
Research Internship project under Assistant Prof. Manish Bhatt of IIT, Guwahati
fire-detection fire-smoke-detection image-recognition machine-learning smoke-detection yolo yolov5 yolov8
Last synced: 09 Oct 2025
https://github.com/srgrace/generative-ai-compass
A comprehensive guide to navigating the world of generative artificial intelligence!
ai cv data-science deep-learning genai llms machine-learning nlp vlms
Last synced: 23 Jan 2026
https://github.com/algorithmiaio/langpacks
Standardized builder and runners for Algorithmia algorithms
algorithmia algorithms machine-learning
Last synced: 15 Oct 2025
https://github.com/jgalego/awesome-safety-critical-ai
A curated list of references on the role of AI in safety-critical systems ⚠️
ai-privacy ai-safety artificial-intelligence awesome awesome-list awesome-lists compliance explainability genai machine-learning red-team reliability responsible-ai safety-critical trustworthy-ai
Last synced: 01 Mar 2025
https://github.com/juliaml/learnbase.jl
Abstractions for Julia Machine Learning Packages
Last synced: 21 Oct 2025
https://github.com/chihayayuka/open-o3
Run o3-pro on your computer. 🌌
ai deep-learning langchain machine-learning o3 openai openai-o3
Last synced: 26 Oct 2025
https://github.com/lovnishverma/slidespptspdfs
Pdfs For Learning Python, DBMS, Big Data and Data Science AIML and much more...
aiml airtificialintelligence bigdata datascience machine-learning nosql-database
Last synced: 07 Feb 2026
https://github.com/dr-saad-la/cs501-deep-learning-complete-course
Computer Science-501: Deep Learning Complete Course
computer-science course-materials data-science deep-learning dr-saad-laouadi machine-learning neural-networks python tensorflow
Last synced: 09 Apr 2025
https://github.com/yyyikes/insult-generator
Offend your friends and family! Generate scathing insults based on an edited dataset of insults scraped from various places around the web.
flask funny insult-generator insulter insults machine-learning markov markov-chain markov-text-generator markovify offensive offensive-language python quote-generator rude text text-generators weird-language
Last synced: 14 Oct 2025
https://github.com/aakashns/deep-learning-workbook
A universal workflow for solving machine learning problems
deep-learning jupyter-notebook keras machine-learning tensorflow
Last synced: 03 Mar 2026
https://github.com/afshinm/juggernaut-demo
Juggernaut demo page
demo juggernaut machine-learning neural-network rust
Last synced: 26 Mar 2025
https://github.com/birdnet-team/birdnet-tiny-forge
Create your own birdsong logger, powered by BirdNET-Tiny.
ai birdsong edge-computing embedded kedro machine-learning
Last synced: 24 Jan 2026
https://github.com/openlayer-ai/openlayer-python
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈
ai data-centric machine-learning machine-learning-operations ml ml-infrastructure mlops model-deployment model-explainability openlayer synthetic-dataset-generation tensorflow unbox
Last synced: 22 Jun 2026
https://github.com/aianytime/machine-learning-models-implementation
Implementation of several ML models on real-world datasets with detailed explanation in notebooks.
eda machine-learning machine-learning-algorithms ml numpy pandas pycaret python scikit-learn scikitlearn-machine-learning sklearn
Last synced: 28 Jun 2025
https://github.com/khaledsharif/tsetlinmachine
An implementation of the Tsetlin Machine in Rust
automata machine-learning rust
Last synced: 15 Jul 2025
https://github.com/liuxiaodong008008/matrix2
A better architected Matrix library in c++
broadcast broadcasting cpp cpp11 cpp14 cpp17 ease-to-use header-only library light lightweight machine-learning matrix matrix-class matrix-library matrix-structure optimization simple structure template
Last synced: 15 Apr 2025
