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: 2026-07-08 00:18:36 UTC
- JSON Representation
https://github.com/sayan-maity/all-project-directory
List of all of my Projects 👨💻 🚀
machine-learning web-development
Last synced: 09 Mar 2025
https://github.com/mlr-org/mlr3-learndrake
Template for using mlr3 with drake
drake machine-learning mlr3 r reproducibility workflow
Last synced: 15 Mar 2025
https://github.com/proycon/python-timbl
python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.
k-nearest-neighbours knn machine-learning python timbl
Last synced: 15 Apr 2025
https://github.com/alexsosn/associationbot
iOS association game chatbot. AI based on neural word embedding language model. Image recognition with convolutional neural net.
chatbot ios machine-learning natural-language-processing neural-network word2vec
Last synced: 31 Aug 2025
https://github.com/memfuse/memfuse
Official Core Services for MemFuse - the lightning-fast open-source memory layer that gives LLMs persistent, queryable memory across conversations and sessions.
ai artificial-intelligence chatbot conversation-memory llm machine-learning memory openai persistent-memory python-sdk rag vector-database
Last synced: 16 Jan 2026
https://github.com/sjenni/LearningToSpotArtifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts. In CVPR, 2018.
alexnet classification compter-vision deep-learning feature-learning machine-learning self-supervised-learning stl-10 tensorflow unsupervised-learning
Last synced: 16 Nov 2025
https://github.com/younader/dnnr
The Python package of differential nearest neighbors regression (DNNR): Raising KNN-regression to levels of gradient boosting method. Build on-top of Numpy, Scikit-Learn, and Annoy.
annoy knn machine-learning machine-learning-algorithms numpy python3 scikit-learn tabular-data
Last synced: 15 Apr 2025
https://github.com/brakmic/data-science-for-losers
:chart_with_upwards_trend: Articles on Data Science, Jupyter, and Pandas
data-science jupyter machine-learning python
Last synced: 23 Apr 2025
https://github.com/anthonymrios/adversarial-relation-classification
Unsupervised domain adaptation method for relation extraction
bioinformatics biomedical-data-science machine-learning natural-language-processing nlp nlp-machine-learning relation-extraction
Last synced: 09 Jul 2025
https://github.com/ultralytics/wave
WAveform Vector Exploitation (WAVE): Machine Learning for particle physics detectors.
deep-neural-networks machine-learning physics-analysis scintillation sipm time-of-flight
Last synced: 25 Apr 2025
https://github.com/mitre/ilpyt
ilpyt: imitation learning library with modular, baseline implementations in Pytorch
imitation-learning machine-learning reinforcement-learning
Last synced: 21 Apr 2025
https://github.com/vidursatija/tf-hack2.0
⚡#PoweredByTF 2.0 Challenge! [ /w @inishchith ]
cv green-app hackathon javascript machine-learning python python3 tensorflow
Last synced: 02 Sep 2025
https://github.com/rpatrik96/nl-causal-representations
This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (particularly, with Nonlinear ICA) can be used to extract the causal graph from an underlying structural equation model (SEM).
causal-discovery causal-discovery-methods causal-inference causality deep-learning deep-neural-networks deeplearning ica independent-component-analysis machine-learning structural-causal-model
Last synced: 03 Jul 2025
https://github.com/getindata/quickstart-ml-blueprints
Data science project development best practices and state of the art open-source tooling forged into a set of solved ML use cases to serve as blueprints for efficient prototyping.
Last synced: 09 Apr 2025
https://github.com/mlr-org/mlr3hyperband
Successive Halving and Hyperband in the mlr3 ecosystem
automl bbotk hyperband hyperparameter-tuning machine-learning mlr3 optimization r tune tuning
Last synced: 07 Mar 2026
https://github.com/krother/generative_art
Generating Art with Python and Numpy
art machine-learning numpy python
Last synced: 09 Apr 2025
https://github.com/atomicsulfate/meshcnn-4-cadseg
Improved MeshCNN for surface type segmention on realistic CAD models.
cad cnn deep-learning machine-learning mesh pytorch segmentation
Last synced: 21 Jul 2025
https://github.com/tribeofai/workshops
Tribe of AI workshops curriculum
deep-learning keras machine-learning numpy pandas python scikit-learn tensorflow
Last synced: 11 Mar 2026
https://github.com/kennethleungty/data-centric-ai-competition
Codes for a Top 5% finish in the Data-Centric AI Competition organized by Andrew Ng and DeepLearning.AI
ai andrew-ng data-centric data-centric-ai data-science deep-learning machine-learning
Last synced: 09 Jul 2025
https://github.com/nitrictech/python-sdk
Python SDK for Nitric
ai cloud machine-learning nitric python sdk serverless
Last synced: 20 Aug 2025
https://github.com/leonjessen/keras_tensorflow_on_iris
A minimal tutorial on how to build a neural network classifier based on the iris data set using Keras/TensorFlow in R/RStudio
classification datascience deep-learning ggplot iris-dataset keras machine-learning neural-network r rstudio tensorflow tensorflow-tutorials tutorial
Last synced: 13 Jun 2025
https://github.com/martinthoma/lidtk
Language Identification Toolkit
language-identification language-identification-toolkit machine-learning mit-license nlp nlp-machine-learning python-3 python-3-5
Last synced: 09 Apr 2025
https://github.com/samrere/pytortto
deep learning from scratch. uses numpy/cupy, trains in GPU, follows pytorch API
autograd cupy deep-learning gpu machine-learning machine-learning-from-scratch neural-network neural-networks-from-scratch numpy numpy-neural-network
Last synced: 04 Sep 2025
https://github.com/michellebonat/fed_funds_ml
Use machine learning (NLP) to demonstrate whether Federal Funds rate changes can be accurately predicted using just the FOMC - the US Federal Reserve Bank - meetings minutes.
ai federal-reserve-bank finance financial-services machine-learning nlp python3
Last synced: 22 Apr 2025
https://github.com/balavenkatesh3322/deep-learning-notebook
A collection of deep learning notebooks for learning and practicing.
data-science deep-learning juypter-notebook juypterhub machine-learning neural-network notebook python3 pytorch tensorflow
Last synced: 22 Apr 2025
https://github.com/csinva/mdl-complexity
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
ai artificial-intelligence bias-variance-trade bias-variance-tradeoff complexity double-descent information-theory linear-models linear-regression linear-regression-models machine-learning mdl mean-squared-error minimum-description-length model-selection ridge-regression statistics
Last synced: 12 Sep 2025
https://github.com/mauroluzzatto/explainy
explainy is a Python library for generating machine learning model explanations for humans
data-science explanation machine-learning machine-learning-explainability python scikit-learn
Last synced: 07 Oct 2025
https://github.com/jeds6391/lgp
A robust Linear Genetic Programming implementation on the JVM using Kotlin.
ai genetic-programming gp jvm kotlin lgp linear-genetic-programming machine-learning
Last synced: 12 Oct 2025
https://github.com/alexioannides/llm-regression
Exploring the classical regression capabilities of LLMs.
genai llm machine-learning openai regression
Last synced: 20 Oct 2025
https://github.com/ratschlab/aestetik
AESTETIK: AutoEncoder for Spatial Transcriptomics Expression with Topology and Image Knowledge
machine-learning spatial-transcriptomics
Last synced: 13 Mar 2026
https://github.com/geyang/params-proto
params_proto, a collection of decorators that makes shell argument passing declarative
cli-parsing hyper-parameter machine-learning
Last synced: 01 Feb 2026
https://github.com/pforemski/gouda
Golang Utilities for Data Analysis
clustering data-analysis data-science dbscan golang interpolate kdtree kmeans machine-learning
Last synced: 28 Jan 2026
https://github.com/redhat-na-ssa/demo-ai-gitops-catalog
A catalog for demos in GitOps on OpenShift
ai data-science gitops kustomization kustomize machine-learning openshift
Last synced: 29 Jan 2026
https://github.com/ethanthoma/zensor
Zig tensor library
machine-learning tensor zig zig-package
Last synced: 24 Jan 2026
https://github.com/rizalzaf/adversarialprediction.jl
Easily optimize generic performance metrics in differentiable learning.
adversarial-prediction deep-learning machine-learning neural-networks
Last synced: 21 Oct 2025
https://github.com/tdspora/syngen
Open-source version of the TDspora synthetic data generation algorithm.
generation machine-learning synthetic-data tabular-data
Last synced: 09 Jun 2026
https://github.com/alessandro-nori/crypto_nn
Proof of concept for CryptoDL made for BigSec course @ EURECOM
homomorphic-encryption machine-learning neural-network
Last synced: 05 Mar 2026
https://github.com/scicloj/metamorph.ml
Machine learning functions for metamorph based on machine learning pipelines
Last synced: 20 Aug 2025
https://github.com/lettier/interactive-simple-linear-regression
A PureScript, browser-based implementation of simple linear regression.
ai artificial-intelligence data-science frontend functional functional-programming gradient-descent halogen linear-regression machine-learning machine-learning-algorithms nueral-networks press-statistic purescript purescript-halogen regression statistics web-development
Last synced: 03 Feb 2026
https://github.com/xrahul/groupingmessages
Auto categorization of your SMS into your own custom categories
android android-pie categorization machine-learning sms string-matching
Last synced: 30 Jul 2025
https://github.com/ashok-arjun/zero-shot-sketch-based-image-retrieval
Zero-shot sketch-based image retrieval using a domain adversarial neural network
computer-vision deep-learning domain-adversarial gradient-reversal-layer image-retrieval machine-learning pytorch sketch-based-image-retrieval zero-shot-learning
Last synced: 28 Jul 2025
https://github.com/bdusell/nondeterministic-stack-rnn
Code for the paper "The Surprising Computational Power of Nondeterministic Stack RNNs" (DuSell and Chiang, 2023)
conll2020 deep-learning iclr2022 iclr2023 language-model machine-learning neural-networks nlp pytorch rnn stack
Last synced: 12 Aug 2025
https://github.com/mdh266/textclassificationapp
Building and Deploying A Serverless Text Classification Web App
data-science docker document-classification fastapi imbalanced-data imbalanced-learning machine-learning naive-bayes natural-language-processing nlp nltk scikit-learn support-vector-machine text-classification
Last synced: 30 Jul 2025
https://github.com/albincorreya/ml-training-airflow-mlflow-example
An example of setting up local audio ML training pipeline on Airflow with MLFlow experiment tracking and custom python library.
airflow audio-analysis keras-tensorflow machine-learning mlfow mlops
Last synced: 30 Jul 2025
https://github.com/bcbi/predictmd.jl
Uniform interface for machine learning in Julia
framework interface julia learning machine machine-learning pipeline workflow
Last synced: 03 Aug 2025
https://github.com/boyanangelov/sdmbench
Benchmarking Species Distribution Models
benchmarking ecology machine-learning r sdm
Last synced: 14 Mar 2025
https://github.com/miscellaneousstuff/pylol
League of Legends v4.20 RL Environment (LoLRLE)
league-of-legends machine-learning reinforcement-learning
Last synced: 20 Feb 2026
https://github.com/johannfaouzi/pyts-repro
A repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature
classification machine-learning python series-transformation timeseries timeseries-analysis
Last synced: 14 Apr 2025
https://github.com/llnl/selfsupervised
Deep Learning Self-Supervised source code related to Mundenk et al. CVPR 2018
deep-learning machine-learning
Last synced: 23 Oct 2025
https://github.com/hoangsonww/inventory-management
📦 This repository contains an Inventory Management System (Simulator) written in Python. It is designed to simulate real-world inventory tracking, including stock levels, product orders, and sales management. Ideal for businesses seeking to understand inventory dynamics or developers looking to implement or enhance inventory management solutions.
algorithms database inventory inventory-changer inventory-control inventory-management inventory-management-system inventory-platform inventory-system machine-learning python pytorch
Last synced: 22 Sep 2025
https://github.com/praful932/tf-rec
Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
deep-learning keras machine-learning machine-learning-algorithms matrix-factorization python python-library recommendation-system recommender-system svd svdplusplus svdpp tensorflow
Last synced: 03 Oct 2025
https://github.com/thalesgroup/pythagore-mod-reco
Package to train and run modulation recognition on raw I/Q radio samples, via deep-learning models
data-augmentation deep-learning deep-neural-network machine-learning modulation-classification modulation-recognition radio
Last synced: 17 Mar 2025
https://github.com/dynamicslab/multiarm-pendulum
This repository is for our paper: "The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control." It contains all the CAD files we used to build the pendulum hardware, their corresponding user's manual, and data set we collected from our hardware, which is useful for Machine Learning and AI community.
double-pendulum hardware-designs machine-learning open-source-data pendulum single-pendulum system-identification triple-pendulum
Last synced: 30 Apr 2025
https://github.com/mfossociety/minn
Manipal Indoor Navigation Network
indoor-localisation indoor-navigation indoor-positioning machine-learning manipal manipal-institute network python python3 system
Last synced: 08 Sep 2025
https://github.com/adgaudio/o-medal
O-MedAL: Online Active Deep Learning for Medical Image Analysis. This repo contains code for the paper.
active-learning deep-learning diabetic-retinopathy-detection machine-learning medical-image-analysis online-learning
Last synced: 30 Apr 2025
https://github.com/anujdutt9/data-analyst-nanodegree
Code and Projects for Data Analyst Nanodegree.
data-analyst-nanodegree database-access machine-learning python-3 sqlite-database
Last synced: 04 May 2025
https://github.com/trainingbypackt/applied-deep-learning-with-keras
Solve complex real-life problems with the simplicity of Keras
cnn-keras cross-validation deep-learning keras machine-learning model-accuracy model-evaluation neural-networks python rnn sequential-models wrapper
Last synced: 10 Apr 2025
https://github.com/deysuman/machinelearningstocks
Using python and scikit-learn to make stock predictions
data-science deep-learning deysuman finance historical-stock-fundamentals india machine-learning machine-learning-algorithms made-with-love math-with-python python python3 science scikit-learn sklearn stock-analysis stock-prediction yahoo-finance
Last synced: 01 May 2025
https://github.com/lucastheis/logistic_lda
Basic tensorflow implementation of logistic latent Dirichlet allocation
classification lda machine-learning tensorflow topic-modeling
Last synced: 03 May 2025
https://github.com/mtpatter/mlflow-tutorial
Fully reproducible, Dockerized, step-by-step, tutorial on training and serving a simple sklearn classifier model using mlflow. Detailed blog post published on Towards Data Science.
data-science machine-learning mlflow mlflow-docker mlops tutorial
Last synced: 04 May 2025
https://github.com/tirthajyoti/rl_basics
Basic Reinforcement Learning algorithms
artificial-intelligence machine-learning machine-learning-algorithms policy-iteration q-learning reinforcement-learning td-learning temporal-differencing-learning value-iteration
Last synced: 06 May 2025
https://github.com/scrn-vrc/point-pillars-in-unitycg
Implementation of PointPillars paper in Unity for VRChat
machine-learning point-cloud pointpillars shaders unity3d vrchat
Last synced: 07 Mar 2026
https://github.com/sap-samples/cross-language-detection-artifacts
This repository complements our paper by offering the training dataset, the best-performing models utilized in our real-world experiment, the list of identified malicious packages, and the scripts necessary to replicate and verify our results.
machine-learning open-source sample sample-code security
Last synced: 13 Apr 2025
https://github.com/chinmayrane16/diamonds-in-depth-analysis
Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.
data-visualization feature-engineering feature-scaling machine-learning matplotlib numpy pandas seaborn
Last synced: 18 Mar 2025
https://github.com/curiousily/reproducible-ml-with-dvc
Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC
deep-learning dvc experiment-tracking linear-regression machine-learning metrics python random-forest reproducibility scikit-learn tracking
Last synced: 07 Apr 2026
https://github.com/MeiFagundes/PolarisAI
Personal Assistant Engine built with ML.NET.
asp-net-core dotnet machine-learning ml-net mlnet natural-language-processing nlp personal-assistant personal-assistant-engine rest-api
Last synced: 29 Apr 2025
https://github.com/wwtg99/kaggle_getting_started
Kaggle getting started competition examples
kaggle machine-learning xgboost
Last synced: 22 Aug 2025
https://github.com/dunnkers/fseval
Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
automl benchmarking benchmarking-framework benchmarks feature-rankers feature-ranking feature-selection hydra machine-learning python scikit-learn wandb
Last synced: 13 Apr 2025
https://github.com/ecrl/ecnet
QSPR-based machine learning for fuel property prediction
cetane-number computational-chemistry fuel-property-prediction machine-learning neural-network pytorch qspr
Last synced: 06 Mar 2026
https://github.com/maxim5/cs224n-2020-winter
All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford
cs224n deep-learning machine-learning nlp stanford-nlp
Last synced: 20 Jul 2025
https://github.com/gsurma/twitter_data_parser
Python scripts that download metadata and tweets for given users.
data machine-learning parser python python2 twitter twitter-api
Last synced: 20 Jul 2025
https://github.com/drscotthawley/vibrary
Vibrary is a GUI client for a user-trainable neural network tool to help producers find audio files on their hard drives
audio cplusplus gui juce machine-learning python
Last synced: 24 Apr 2025
https://github.com/anushka23g/parkinson-disease-classification
A Machine Learning Approach for the Diagnosis of Parkinson's Disease via Speech Analysis
dataset diagnosis machine-learning parkinson-disease voice
Last synced: 05 Jul 2025
https://github.com/carpentries-incubator/machine-learning-librarians-archivists
Introduction to AI for GLAM
beta carpentries-incubator english glam lesson machine-learning
Last synced: 27 Oct 2025
https://github.com/shimantorahman/empulse
Value-driven and cost-sensitive analysis for scikit-learn
cost-sensitive cost-sensitive-learning data-science machine-learning profit-driven profit-driven-analytics python scikit-learn sklearn value-driven value-driven-analytics
Last synced: 12 Oct 2025
https://github.com/devinterview-io/probability-interview-questions
🟣 Probability interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.
ai-interview-questions 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 probability probability-interview-questions probability-questions probability-tech-interview software-engineer-interview technical-interview-questions
Last synced: 12 Feb 2026
https://github.com/juliagenai/colbert.jl
Efficient late-interaction retrieval systems in Julia!
colbert gen-ai information-retrieval llms machine-learning rag
Last synced: 23 Feb 2026
https://github.com/sinanuozdemir/oreilly-bert-hands-on-nlp
This repository contains code for the O'Reilly Live Online Training for Hands on Transfer Learning with BERT
artificial-intelligence bert deep-learning machine-learning nlp transfer-learning
Last synced: 24 Apr 2025
https://github.com/nanxstats/enpls
Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
chemometrics dimensionality-reduction ensemble-learning machine-learning outlier-detection partial-least-squares-regression
Last synced: 22 Apr 2025
https://github.com/picterra/picterra-python
Picterra Python API Client
data-science earth-observation geospatial-analysis geospatial-intelligence machine-learning
Last synced: 14 Jan 2026
https://github.com/rzykov/fastml4j
Fast Scala and nd4j based machine learning framework
machine-learning machine-learning-algorithms nd4j scala
Last synced: 14 Jan 2026
https://github.com/haghish/shapley
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
class-imbalance class-imbalance-problem feature-extraction feature-importance feature-selection machine-learning machine-learning-algorithms shap shap-analysis shap-values shapely shapley-additive-explanations shapley-decomposition shapley-value shapley-values shapleyvalue weighted-shap weighted-shap-confidence-interval weighted-shapley weighted-shapley-ci
Last synced: 21 Feb 2026
https://github.com/simbafl/interview-notes
Python随笔
data-science hadoop hive machine-learning python spark
Last synced: 08 Apr 2025
https://github.com/snap-research/stable-flow
Official implementation for "Stable Flow: Vital Layers for Training-Free Image Editing"
deep-learning diffusion-models flow-models generative-ai image-editing machine-learning text-to-image
Last synced: 15 May 2025
https://github.com/livelace/opennlp-models
OpenNLP models for Russian language based on news feeds.
machine-learning news opennlp opennlp-models russian-language
Last synced: 09 Aug 2025
https://github.com/mikerah/fakedatagenerator
csv dataset django-framework django-web machine-learning testing-tools
Last synced: 10 Mar 2026
https://github.com/pottekkat/virtual-drums
A virtual drum set built using Open CV
computer-vision machine-learning opencv virtual-drums
Last synced: 20 Aug 2025
https://github.com/andrewtavis/wikirec
Recommendation engine framework based on Wikipedia data
bert bert-embeddings books doc2vec lda machine-learning multilingual natural-language-processing neural-network nlp open-source python python3 recommendation-engine recommender-system text-mining tfidf unsupervised-learning wikipedia wikipedia-data
Last synced: 05 Jul 2025
https://github.com/ncordon/undergraduate-dissertation
Final career project on PAC theory and imbalanced datasets
imbalanced-learning machine-learning pac-theory
Last synced: 19 Feb 2026
https://github.com/cblearn/cblearn
Comparison-based Machine Learning in Python
embedding machine-learning machinelearning multidimensional multidimensional-scaling non-metric ordinal scaling scikit-learn
Last synced: 27 Jul 2025
https://github.com/ultmaster/utilsd
Common deep learning utils.
configuration deep-learning experiment-management logging machine-learning mlops pytorch utils
Last synced: 26 Jul 2025
https://github.com/hemangjoshi37a/personalgoalassistant
AI-driven Personal Goal Assistant: Reinforcement learning-powered software mimics user behavior, interacts with computer inputs, and autonomously achieves goals in finance, social networking, and productivity. Open-source, Python-based RL agent.
ai automation autonomous-agents computer-vision data-preprocessing deep-learning finance goal-setting machine-learning mimic natural-language-processing open-source personal-goals productivity python reinforcement-learning social-media user-data
Last synced: 12 Aug 2025
https://github.com/xyjigsaw/machine-learning-navigation
🎲OmegaXYZ.com机器学习的文章目录
artificial-intelligence machine-learning
Last synced: 14 Apr 2025
https://github.com/madrury/smoothers
Visualizations of various one-dimensional smoothers using the d3 javascript library.
curve-fitting javascript machine-learning plotting
Last synced: 24 Aug 2025
https://github.com/dalmia/deep-learning-tutorials
Deep learning tutorials for classification of MNIST digits using CNNs and solutions to assignments for Udacity's deep learning course
deep-learning machine-learning tensorflow
Last synced: 02 Jul 2025
https://github.com/chembl/chembl_multitask_model
Target prediction multitask neural network, with examples running it in Python, C++, Julia and JS
cheminformatics chemistry machine-learning
Last synced: 11 Feb 2026
https://github.com/csinva/cookiecutter-ml-research
A logical, reasonably standardized, but flexible project structure for conducting ml research 🍪
ai artificial-intelligence classification data-science machine-learning ml ml-tooling modeling natural-language-processing nlp python regression research statistics tabular-data template
Last synced: 01 Mar 2026