An open API service indexing awesome lists of open source software.

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.

https://github.com/BhavyeMathur/redstone-ml

High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust

autograd-engine linear-algebra machine-learning numpy pytorch tensor

Last synced: 30 Aug 2025

https://github.com/mathspp/nnfwp

Neural Networks Fundamentals with Python – implementing neural networks from scratch

deep-learning machine-learning machine-learning-tutorials neural-network neural-networks neural-networks-from-scratch python python3

Last synced: 06 Apr 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/vivek3141/rubiks-cube-ai

Using Deep Reinforcement Learning, a computer program learns how to solve the Rubik's Cube, the world's most popular toy.

machine-learning q-learning reinforcement-learning rubiks-cube

Last synced: 14 Mar 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/sno2/bertml

Use common pre-trained ML models in Deno!

bert deno machine-learning nlp rust

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/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/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/divinemonk/hackgpt

HackGPT is a collective one place resource project that reverse engineers ChatGPT to unleash it's full potential for creating smarter, more human-like experience. It's open for collaboration and contributions from developers and researchers, with a focus on legal and ethical use.

ai all-in-one artificial-intelligence bug-bounty chatgpt developers ethical-hacking hackers hackgpt machine-learning open-source prompt-engineering resources

Last synced: 13 Apr 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/mratsim/apartment-interest-prediction

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

clustering geolocalization gradient-boosting kaggle kaggle-competition lightgbm machine-learning natural-language-processing xgboost

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/so-cool/you-only-write-thrice

A companion repository to the "You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source" paper published at Rethinking ML Papers – ICLR 2021 Workshop.

iclr2021 jupyter-book machine-learning publishing

Last synced: 31 Oct 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/kachayev/dataclasses-tensor

Easily serialize dataclasses to and from tensors (PyTorch, NumPy)

ai machine-learning numpy pytorch tensor

Last synced: 12 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/incognito124/knarrow

Shoot a knarrow to the knee

elbow knee machine-learning optimization python python3

Last synced: 13 Apr 2025

https://github.com/ozguraslank/flexml

Easy-to-use and flexible AutoML library for Python

automl data-science machine-learning python scikit-learn

Last synced: 18 Jul 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/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/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/minhaskamal/alphabetrecognizer

Simple Optical Character Recognizer (english-ocr-image-to-text-recognition-sample-trainig-alphabet-photo-data-database-dataset)

alphabet-recognizer data database english image-processing java machine-learning ocr sample template-matching text-recognition training-data writing

Last synced: 11 Apr 2025

https://github.com/zongxr/dcic2024-offshore-wind-power

本赛题要求选手基于风力海况气象数据、风机性能数据等,针对复杂多变气象和海况条件的深度耦合影响,提出海上风电出力预测模型,提升模型精度以及在工程应用中的可信度,为大规模风电接入下的能源安全可靠运行提供保障。A榜得分0.06490342,排名83;B榜得分0.06745705,排名55

lightgbm machine-learning sklearn time-series

Last synced: 09 May 2025

https://github.com/ae-bii/neural-geometry

Latent Space Geometry for Neural Networks in Python

deep-learning machine-learning manifold-optimization neural-network python

Last synced: 14 Dec 2025

https://github.com/dice-group/tebaqa

A question answering system which utilises machine learning.

machine-learning natural-language-processing question-answering weka

Last synced: 24 Jun 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/aspuru-guzik-group/golem

Golem: an algorithm for robust experiment and process optimization

experimental-design machine-learning optimization

Last synced: 11 Apr 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/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/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/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/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/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/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/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/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/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/jmduarte/phys139_239

UCSD PHYS 139/239: Machine Learning in Physics (Winter 2023)

machine-learning physics ucsd

Last synced: 11 Sep 2025

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/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/thomasathorne/clj-stan

A library to interface with STAN.

bayesian-inference machine-learning stan

Last synced: 21 Feb 2026

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/krisharul26/motorbike-helmet_detection-using-yolov3

This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers are wearing helmets or not. In this category I have built a model, first, it can be able to detect the motorcycle, then it will find out who is riding the bike. Finally, it will determine whether the person is wearing a helmet or not. To that end, I trained the pre-trained model SSD-MobileNet-V1 to detect motorcycles and humans.

artificial-intelligence computer-vision image-processing imageclassification keras-tensorflow labelimg-tool machine-learning objectdetection tensorflow2 transfer-learning yolov3

Last synced: 12 May 2025

https://github.com/ntia/alignnet

Train no-reference speech quality estimators with multiple datasets via learned, per-dataset alignments.

corpus-effect listening-experiment machine-learning no-reference-audio-quality-assessment speech-quality speech-quality-evaluation subjective-tests

Last synced: 01 Sep 2025

https://github.com/thudm/mrt

MRT: Tracing the Evolution of Scientific Publications (TKDE 2021)

data-mining machine-learning

Last synced: 30 Nov 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/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/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/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/sap-samples/hana-ml-py-codejam

Material (learning content and exercises) for SAP CodeJams on getting started with Machine Learning using SAP HANA Cloud and Python.

codejam hana-ml machine-learning python sample sap-codejam sap-hana

Last synced: 20 Aug 2025

https://github.com/elbruno/elbruno.qwentts

Qwen3-TTS ONNX export pipeline + C# .NET 10 console app for local voice generation

ai csharp dotnet machine-learning nuget onnx onnx-runtime qwen qwen3-tts speech-synthesis text-to-speech tts voice-cloning

Last synced: 15 Apr 2026

https://github.com/ahammadmejbah/linear-regression

In statistics, linear regression is a linear approach to modeling the relationship between a scalar response and one or more explanatory variables. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression

machine-learning regression statistics

Last synced: 27 Apr 2025

https://github.com/joylarkin/my-ai-resource-list

A useful opinionated repository of Artificial Intelligence ecosystem resources - AI event calendars, papers, books, articles, videos, AI leaderboards, and much more.

agi ai ai-2025 ai-ecosystem ai-leaderboards ai-list ai-resources ai-tools api artificial-intelligence asi awesome-ai cerebral-valley documentation machine-learning ml prompts sdk

Last synced: 20 Feb 2026

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/aiwithqasim/piaic-artificial-intelligence

Welcome, to this OPEN SOURCE repository. In this repository, I'll Add all Material that I had read in the PIAIC course. It will benefit those students of PIAIC who are Enthusiastic toward Artificial Intelligence.

cnn data-science deep-learning docker linux machine-learning matplotlib numpy pandas python3

Last synced: 17 Mar 2025

https://github.com/cair/open-tsetlin-machine

Open Source Tsetlin Machine framework

machine-learning tsetlin-machine

Last synced: 07 Jan 2026

https://github.com/guillaumebouchetepitech/geneticalgorithm_experiment

Genetic Algorithm experiment, it was kept simple on purpose. (demo available)

bullet-physics genetic-algorithm machine-learning multithreading opengl

Last synced: 17 Aug 2025

https://github.com/riscy/machine_learning_linear_models

A demo showcasing linear regression, reduced-rank regression and a linear system identification algorithm for modelling time series -- and when to apply them.

linear-model machine-learning

Last synced: 11 Apr 2025

https://github.com/aahrens1/ddml

Double/Debiased Machine Learning implementation for Stata

causal-inference machine-learning stata

Last synced: 23 Feb 2026

https://github.com/mlomb/onnx2code

Convert ONNX models to plain C++ code (without dependencies)

assembly cpp inference machine-learning onnx python

Last synced: 01 Apr 2025

https://github.com/marceariel99/simil-photo

Software to detect and delete similar images in a directory

machine-learning python

Last synced: 21 Apr 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/aniketwdubey/rainfall-prediction-end-to-end-ml-project

The main motive of the project is to predict the amount of rainfall in Vidarbha region or state well in advance. We predict average rainfall using past data.

css data-science data-visualization flask html machine-learning python rainfall-prediction

Last synced: 23 Apr 2025