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/samarthtech/python-projects-2024

This is the Official Repository of SAMARTH for Open Odyssey 1.0. Contribute your Python Projects, Games, and AI/ML Projects in our Repository 🔥. Make Quality Contributions 😎

aiml beginner-friendly games hacktoberfest hacktoberfest2024 machine-learning open-source python

Last synced: 05 Apr 2025

https://github.com/thomasmbury/deep-early-warnings-pnas

Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)

bifurcation critical-transitions deep-learning dynamical-systems early-warning-signals machine-learning

Last synced: 21 Mar 2025

https://github.com/vidhi1290/llm---detect-ai-generated-text

AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀

ai-generated bert bert-model detection-algorithm kaggle kaggle-competition llm machine-learning natural-language-processing nlp

Last synced: 19 Oct 2025

https://github.com/abishekvashok/rep-counter

AI Exercise Rep Counter based on Google's Human Pose Estimation Library (Posenet)

artificial-intelligence deep-learning machine-learning neural-networks posenet repetion-counter repetition rnn rnn-tensorflow tensorflow

Last synced: 22 Mar 2025

https://github.com/patrick-kidger/generalised_shapelets

Code for "Generalised Interpretable Shapelets for Irregular Time Series"

machine-learning shapelet-transform shapelets time-series

Last synced: 01 Mar 2026

https://github.com/instadeepai/sebulba

🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX

ai deep-learning hpc jax machine-learning podracer ppo reinforcement-learning sebulba tpu

Last synced: 14 Mar 2026

https://github.com/splunk/splunk-mltk-container-docker

Splunk App for Data Science and Deep Learning - container images repository

agentic ai artificial-intelligence data-science deep-learning docker llm machine-learning rag splunk splunk-ai

Last synced: 11 Oct 2025

https://github.com/shikanon/mypresentations

this is my presentaion area .个人演讲稿展示区,主要展示一些平时的个人演讲稿或者心得之类的,

deep-learning learning machine-learning python

Last synced: 17 Jun 2025

https://github.com/jmwoloso/pychattr

Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library

channel-attribution data-analysis data-science machine-learning python python-channel-attribution rpy2 wrapper

Last synced: 06 May 2025

https://github.com/lufficc/dqn

Implementation of q-learning using TensorFlow

machine-learning q-learning reinforcement-learning

Last synced: 06 May 2025

https://github.com/camlab-bioml/astir

astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨

imaging-mass-cytometry machine-learning multiplexed-imaging

Last synced: 08 Mar 2026

https://github.com/earmingol/cell2cell

User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins

bioinformatics bulk-rna-seq cell-cell-communication cell-cell-interaction computational-biology machine-learning rna-seq rnaseq sc-rna-seq single-cell single-cell-rna-seq

Last synced: 14 Aug 2025

https://github.com/vsimkus/vae-voice-conversion

Voice conversion (VC) investigation using three variants of VAE

machine-learning vae voice-conversion vqvae

Last synced: 13 May 2025

https://github.com/dhaitz/machine-learning-interactive-visualization

Interactive visualization of machine learning model evaluation metrics

dashboard jupyter-notebook machine-learning matplotlib python seaborn voila

Last synced: 27 Apr 2025

https://github.com/sileneer/nrp_2022_eee12

LSTM and GRU model to predict the SOH of the batteries

electrical-engineering electronics-engineering gru lstm machine-learning python

Last synced: 28 May 2026

https://github.com/tomasreimers/tensorflow-emscripten

VERY MUCH A WORK IN PROGRESS & ACTIVE RESEARCH PROJECT -- DO NOT USE.

browser-tensorflow emscripten machine-learning makefile tensorflow tensorflow-emscripten

Last synced: 30 Apr 2025

https://github.com/sdq/deepvis

machine learning algorithms in Swift

hierarchical-clustering kmeans lda machine-learning pca unsupervised-learning

Last synced: 17 Aug 2025

https://github.com/duncanwp/esem

Easy emulating of geophysical models including (but not limited to!) Earth System Models.

climate emulation machine-learning

Last synced: 09 Apr 2025

https://github.com/worldbank/ml-classification-algorithms-poverty

A comparative assessment of machine learning classification algorithms applied to poverty prediction

classification comparative-assessment machine-learning poverty

Last synced: 24 Apr 2025

https://github.com/ytarazona/ForesToolboxRS

Remote Sensing Tools for Forest Monitoring

change-detection deforestation machine-learning remote-sensing

Last synced: 07 May 2025

https://github.com/duncanwp/ESEm

Easy emulating of geophysical models including (but not limited to!) Earth System Models.

climate emulation machine-learning

Last synced: 08 May 2025

https://github.com/Cloud-Pipelines/pipeline-editor

Cloud Pipelines Editor is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.

google-cloud google-cloud-platform google-cloud-vertex google-cloud-vertex-ai kubeflow-pipelines machine-learning pipeline pipelines vertex-ai

Last synced: 06 May 2025

https://github.com/tatevkaren/free-resources-books-papers

Books and Papers in Mathematics, Econometrics, Machine Learning, Finance etc for different levels that can be useful for Data Scientists, Developers and everyone whoo is interesting in STEM.

books data-science databricks delta-lake developers econometrics free-books free-resources machine-learning mathematics statistics

Last synced: 17 Feb 2026

https://github.com/liborty/rstats

Statistics, Information Measures, Linear Algebra, Cholesky Matrix Decomposition, Mahalanobis Distance, Householder QR Decomposition, Clifford Algebra, Multidimensional Data Analysis, Geometric Median, Hulls, Machine Learning, multithreading implementation...

geometric-median linear-algebra machine-learning math multidimensional-analysis rust statistics

Last synced: 08 Apr 2026

https://github.com/koheiw/newsmap

Semi-supervised algorithm for geographical document classification

machine-learning news-stories quanteda text-analysis

Last synced: 08 Sep 2025

https://github.com/liuchengxu/hands-on-learning

:sunflower: Learn by doing

machine-learning python

Last synced: 06 Mar 2026

https://github.com/developersdigest/function-chain

The FunctionChain is a tool that simplifies and organizes the process of invoking OpenAI functions in your Node.js applications. With this toolkit, you can easily scaffold out and isolate all the OpenAI function calls you need, making your code more modular, maintainable, and scalable.

alpha-vantage artificial-intelligence automation function-calling functionchain langchain machine-learning natural-language natural-language-processing nlp openai pinecone

Last synced: 19 Apr 2025

https://github.com/guitarml/ts-m1n3

TS-9 guitar pedal clone using neural networks.

audio-processing guitar machine-learning neural-network

Last synced: 26 Mar 2025

https://github.com/pennylaneai/pennylane-cirq

The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.

cirq differentiable-computing jax machine-learning python pytorch qml quantum quantum-algorithms quantum-chemistry quantum-computing quantum-machine-learning tensorflow

Last synced: 10 Jun 2025

https://github.com/xenova/doodle-dash

Doodle Dash, an ML-powered web game that runs completely in your browser, thanks to Transformers.js!

javascript machine-learning

Last synced: 24 Mar 2025

https://github.com/waico/tsad

Package for Time Series Forecasting and Anomaly Detection Problems.

anomaly-detection deep-learning forecasting lstm machine-learning time-series time-series-analysis

Last synced: 14 Jan 2026

https://github.com/amoussawi/recoder

Large scale training of factorization models for Collaborative Filtering with PyTorch

autoencoder collaborative-filtering deep-learning machine-learning matrix-factorization pytorch recommender-system

Last synced: 19 Nov 2025

https://github.com/groundlight/python-sdk

Python SDK for accessing Groundlight API

artificial-intelligence computer-vision machine-learning

Last synced: 16 Jan 2026

https://github.com/fidelity/jurity

[ACM 2024] Jurity: Fairness & Evaluation Library

evaluation fairness-ai machine-learning metrics recommenders

Last synced: 09 Mar 2026

https://github.com/natolambert/dynamicslearn

Working directory for dynamics learning for experimental robots.

dynamics machine-learning quadrotor research

Last synced: 30 Apr 2025

https://github.com/atomind-ai/mlip-arena

Fair and transparent benchmark of machine-learned interatomic potentials (MLIPs), beyond basic error metrics

benchmark-framework interatomic-potentials machine-learning materials molecules quantum-chemistry

Last synced: 02 Apr 2026

https://github.com/isfonzar/sentiment-thermometer

Measure the sentiment towards a word, name or sentence on social networks

composer machine-learning php sentiment-analysis twitter

Last synced: 12 May 2025

https://github.com/pikselkroken/pixlstash

PixlStash is a Python-based image management, tagging and editing web app leveraging AI tools for tagging, similarity checks, grouping and quality assessment. It has a REST-API and a VUE-based web frontend.

captioning-images comfyui comfyui-workflow cross-platform cuda docker-image image-classification image-database image-editing image-management image-manager image-tagging locally-hosted machine-learning picture-management pictures python self-hosted stable-diffusion vue

Last synced: 07 Jun 2026

https://github.com/wamuir/graft

Go language bindings to the TensorFlow C API

go golang machine-learning tensorflow

Last synced: 02 May 2025

https://github.com/joisino/gnnbook

書籍『グラフニューラルネットワーク』のサポートサイトです。

deep-learning gnn graph-neural-networks machine-learning pytorch

Last synced: 20 Aug 2025

https://github.com/raviqqe/tensorflow-qnd

Quick and Dirty TensorFlow command framework to train and evaluate models and make inference

machine-learning python tensorflow

Last synced: 15 Apr 2025

https://github.com/mathpix/spectra-review-paper-competition

Competition for best expository article on cutting-edge ML research

competition cuttin machine-learning review-paper

Last synced: 07 Jul 2025

https://github.com/jskripchuk/Synth1GAN

A GAN to generate preset banks for famous and free VST plugin Synth1

artificial-intelligence gan machine-learning music synthesizer

Last synced: 17 Mar 2025

https://github.com/joisino/laf

Code for "Training-free Graph Neural Networks and the Power of Labels as Features" (TMLR 2024)

deep-learning gnn graph-neural-networks label-propagation machine-learning node-classification pytorch transductive-learning

Last synced: 07 May 2025

https://github.com/hybridrobotics/prompt2walk

Code for Prompt a Robot to Walk with Large Language Models https://arxiv.org/abs/2309.09969

ai artificial-intelligence control-systems large-language-models locomotion machine-learning ml robotics

Last synced: 12 Jun 2025

https://github.com/juliaml/learn.jl

JuliaML bundled in a convenient all-in-one toolkit.

julialang machine-learning

Last synced: 05 Oct 2025

https://github.com/siliconlabs/mltk

A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms

aiot cpp embedded embedded-c embedded-systems internet-of-things iot keras keras-tensorflow machine-learning machinelearning python python3 tensorflow tensorflow-lite tensorflow-lite-micro tensorflow2

Last synced: 06 Apr 2025

https://edgarsmdn.github.io/MLCE_book/

Hands-on material for a Machine Learning in Chemical Engineering course

chemical-engineering deep-learning jupyter-book machine-learning process-systems-engineering python

Last synced: 24 Feb 2025

https://github.com/edgarsmdn/MLCE_book

Hands-on material for a Machine Learning in Chemical Engineering course

chemical-engineering deep-learning jupyter-book machine-learning process-systems-engineering python

Last synced: 25 Sep 2025

https://github.com/antononcube/mathematicavsr

Example projects, code, and documents for comparing Mathematica with R.

comparison data-analysis data-science machine-learning mathematica r time-series

Last synced: 17 Oct 2025

https://github.com/SiliconLabs/mltk

A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms

aiot cpp embedded embedded-c embedded-systems internet-of-things iot keras keras-tensorflow machine-learning machinelearning python python3 tensorflow tensorflow-lite tensorflow-lite-micro tensorflow2

Last synced: 18 Mar 2025

https://github.com/gbourniq/bank-statement-analysis

Flask application generating interactive visualisations from bank statements PDF documents

bank-statement-documents computer-vision docker flask-application machine-learning powerbi sql-database web-application

Last synced: 05 Mar 2025

https://github.com/rahuldkjain/crop_prediction

ApnaAnaaj aims to solve crop value prediction problem in an efficient way to ensure the guaranteed benefits to the poor farmers. The team decided to use Machine Learning techniques on various data to came out with better solution. This solution uses Decision Tree Regression technique to predict the crop value using the data trained from authentic datasets of Annual Rainfall, WPI Index for about the previous 10 years. This implementation proved to be promising with 93-95% accuracy.

crop crop-price-prediction dataset decision-tree-regression flask machine-learning multivariable price-prediction python rainfall wpi

Last synced: 26 Aug 2025

https://github.com/rampal-punia/django-object-detection

Django object detection app using yolov5. Upload new custom model or use any of the yolov5 pre-trained model.

django django-application dropzonejs machine-learning machine-learning-library object object-detection object-detector python yolov5 yolov5-django

Last synced: 25 Jul 2025

https://github.com/dadaloop82/MyHomeSmart-HASS-AppDeamon

I have a dream: to give HomeAssistant the ability to reason and perform actions logically and comprehensively, using AppDaemon, Sklearn, and Decision Tree.

appdeamon automation hassio history home-assistant home-automation homeassistant influxdb machine-learning pandas python sklearn sklearn-library

Last synced: 06 Apr 2025

https://github.com/5ymph0en1x/SyBrain

Scalping Trading Unit and Machine Learning using BitMEX API

bitmex cryptobot machine-learning

Last synced: 08 Apr 2025

https://github.com/cloud-cv/evalai-cli

:cloud: :rocket: Official EvalAI Command Line Tool

ai ai-challenges click machine-learning python3

Last synced: 09 Apr 2025

https://github.com/neuromorphs/nir

Neuromorphic Intermediate Representation reference implementation

machine-learning neuromorphic

Last synced: 11 Apr 2025

https://github.com/universaldatatool/coronavirus-mask-image-dataset

Image dataset from Instagram of people wearing medical masks, no mask, or a non-medical (DIY) mask

computer-vision coronavirus covid-19 covid19 dataset fastai images machine-learning

Last synced: 19 Apr 2025

https://github.com/ZoneMinder/mlapi

An easy to use/extend object recognition API you can locally install. Python+Flask. Also works with ZMES!

api api-gateway api-server cctv face-detection flask iot machine-learning object-detection python3 zoneminder

Last synced: 07 Apr 2025

https://github.com/ibrahimcanerdogan/google-mlkit-android-apps

This repository contains a collection of Android applications developed using Google ML Kit, demonstrating the power and versatility of machine learning features in mobile development. Each project is crafted using Java and Kotlin, showcasing various use cases and practical implementations.

android android-app android-application barcode-scanner face-detection firebase google google-api image-labeling java java-android kotlin kotlin-android machine-learning mlkit mlkit-face-detection mlkit-pose-detection mlkit-text-recognition pose-detection text-recognition

Last synced: 15 Mar 2026

https://github.com/bgokden/veri

Scalable Feature Store

feature-store golang knn knn-search machine-learning

Last synced: 14 Aug 2025

https://github.com/reddyprasade/machine-learning-with-scikit-learn-python-3.x

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This problem can be either: classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. An example of a classification problem would be handwritten digit recognition, in which the aim is to assign each input vector to one of a finite number of discrete categories. Another way to think of classification is as a discrete (as opposed to continuous) form of supervised learning where one has a limited number of categories and for each of the n samples provided, one is to try to label them with the correct category or class. regression: if the desired output consists of one or more continuous variables, then the task is called regression. An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight. unsupervised learning, in which the training data consists of a set of input vectors x without any corresponding target values. The goal in such problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down to two or three dimensions for the purpose of visualization (Click here to go to the Scikit-Learn unsupervised learning page).

classification consists machine-learning machine-learning-algorithms prediction python python-3 regression reinforcement-learning scikit-image scikit-learn scikit-learn-api scikit-learn-python scikit-model semi-supervised-learning sklearn supervised-learning unsupervised-learning vector

Last synced: 01 Aug 2025

https://github.com/songtianyi/go-mxnet-predictor

go binding for mxnet c_predict_api to do inference with pre-trained model

cgo deep-learning golang inference machine-learning mxnet

Last synced: 16 Jan 2026

https://github.com/lsds/crossbow

Crossbow: A Multi-GPU Deep Learning System for Training with Small Batch Sizes

deep-learning gpu-acceleration machine-learning training

Last synced: 02 Apr 2025

https://github.com/ml-rust/splintr

A high-performance BPE tokenizer built with Rust with Python bindings, focused on speed, safety, and resource optimization.

huggingface llm machine-learning openai rust tokenizer

Last synced: 11 Jan 2026

https://github.com/omimo/xrbm

Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

crbm library machine-learning mnist-dataset python rbm restricted-boltzmann-machine tensorflow

Last synced: 10 Apr 2025

https://github.com/gerdm/bayes

Neat Bayesian machine learning examples

bayesian-statistics jax machine-learning python

Last synced: 07 May 2025

https://github.com/adeelh/pytorch-fpn

PyTorch implementations of some FPN-based semantic segmentation architectures: vanilla FPN, Panoptic FPN, PANet FPN; with ResNet and EfficientNet backbones.

computer-vision deep-learning deeplearning efficientnet feature-pyramid-network fpn implementation-of-research-paper machine-learning neural-network pytorch pytorch-fpn pytorch-implementation resnet semantic-segmentation semantic-segmentation-architectures

Last synced: 14 Apr 2025

https://natnew.github.io/Awesome-Prompt-Engineering/

Awesome-Prompt-Engineering - This repository includes resources for prompt engineering.

awesome-list deep-learning firstcontributions gpt machine-learning prompt-engineering

Last synced: 03 May 2025

https://github.com/Open-All-Scale-Causal-Engine/OpenASCE

OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, causal effect estimation and attribution algorithms all in one package.

causal-inference causality machine-learning treatment-effects

Last synced: 17 Sep 2025

https://github.com/Xamber/Varis

Golang Neural Network

golang machine-learning neural-network perceptron

Last synced: 14 Mar 2025

https://github.com/rishit-dagli/nystromformer

An implementation of the Nyströmformer, using Nystrom method to approximate standard self attention

artificial-intelligence attention-mechanism deep-learning keras machine-learning nystrom nystromformer tensorflow transformer

Last synced: 15 Oct 2025

https://github.com/vein-lang/vein

🔮⚡️Vein is an open source high-level strictly-typed programming language with a standalone OS, arm and quantum computing support.

arm32 arm64 cli interpreter jit language machine-learning programming-language quantum-computing research-project virtual-machine

Last synced: 14 Jan 2026