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
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https://github.com/djsutherland/igms

Implicit generative models and related stuff based on the MMD, in PyTorch

generative-models hypothesis-testing kernel-methods machine-learning maximum-mean-discrepancy python pytorch statistical-tests

Last synced: 23 Apr 2025

https://github.com/thegreatherrlebert/ionmob

An open-source prediction framework for peptide ion collision cross section (CCS) values with python.

ccs collisional-cross-section deep-learning ion-mobility ion-mobility-spectrometry machine-learning mass-spectrometry proteomics pypi python-package

Last synced: 08 Oct 2025

https://github.com/viadee/javaanchorexplainer

Explains machine learning models fast using the Anchor algorithm originally proposed by marcotcr in 2018

ai algorithm anchor explainable-ai h2oai java machine-learning

Last synced: 13 Oct 2025

https://github.com/tslmy/politeness-estimator

A set of pre-trained machine-learning models that predict (im-)politeness scores in texts.

computational-linguistics machine-learning social-psychology

Last synced: 11 Oct 2025

https://github.com/rubixml/dota2

Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.

classifier cross-validation data-science dota dota2 machine-learning machine-learning-tutorial naive-bayes naive-bayes-algorithm naive-bayes-classifier php php-machine-learning php-ml prediction rubix-ml

Last synced: 30 Jul 2025

https://github.com/yashksaini-coder/floraloracle--iris-inference-hub

The Objective is to combine the Prediction & classification scenarios of Machine Learning algorithms on the morphological Flower dataset

classification data-science jupyter-notebook machine-learning machine-learning-algorithms machinelearning prediction-model python3 scikit-learn scikitlearn-machine-learning

Last synced: 11 Apr 2025

https://github.com/jmaczan/text-to-ml

Programmable automated machine learning - proof of concept

automl deep-learning huggingface hugginggpt machine-learning python

Last synced: 13 Oct 2025

https://github.com/ata-turhan/kaggle-blueprints

It is a blueprint jupyter notebook that can be used for classification and regression tasks using ml and dl solutions.

classification kaggle machine-learning python regression tabular-data

Last synced: 10 Sep 2025

https://github.com/huggingface/hf_benchmarks

A starter kit for evaluating benchmarks on the 🤗 Hub

evaluation huggingface machine-learning

Last synced: 14 Oct 2025

https://github.com/correia-jpv/fucking-awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities. With repository stars⭐ and forks🍴

awesome awesome-list deep-learning deep-learning-tutorial deep-networks face-images machine-learning neural-network recurrent-neural-networks

Last synced: 27 Apr 2025

https://github.com/bayer-group/pybalance

A library for minimizing the effects of confounding covariates

beat-undefined confounding machine-learning python statistical-analysis

Last synced: 06 Oct 2025

https://github.com/amey-thakur/bangalore-house-price-prediction

Machine Learning Project to Predict House Prices in Bangalore.

amey ameythakur data-science deep-learning house-price-prediction kaggle machine-learning megasatish python

Last synced: 14 Mar 2026

https://github.com/wesdoyle/5-minute-fridays

Code from my Five Minute Fridays YouTube series

clean-code design-patterns devops dotnet javascript machine-learning typescript unit-testing web-development

Last synced: 24 Apr 2025

https://github.com/decargroup/closed_loop_koopman

Companion code for Closed-Loop Koopman Operator Approximation

control dynamical-systems koopman machine-learning system-identification

Last synced: 16 Oct 2025

https://github.com/thalesgroup/agilab

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

agentic-ai ai ai-agents ai-engineering cython dask data-science distributed-computing experiment-tracking free-threaded-python jupyter-notebook machine-learning mlflow mlops python reproducibility reproducible-research rust streamlit workflow-orchestration

Last synced: 30 May 2026

https://github.com/narasimha1997/bzcompute

bzCompute is a computation graph library with built-in support for domain-decomposition and prallel computation. The library can be used for expressing and executing large number of mathematical and text-processing operations using Data-Flow graphs, (Educational version of tensorflow), written in pure python code with numpy support.

computer-science domain-decomposition educational-project machine-learning parallel-computing

Last synced: 12 Apr 2025

https://github.com/innfactory/akka-lift-ml

akka http service for serving spark machine learning models

akka akka-http data-engineering fast-data machine-learning scala spark

Last synced: 14 Apr 2025

https://github.com/lucko515/regression-python

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

machine-learning machine-learning-algorithms regression regression-algorithms regression-models

Last synced: 14 Apr 2025

https://github.com/impetus-udes/rule4ml

Resource Utilization and Latency Estimation for ML on FPGA.

fpga hls keras machine-learning neural-network onnx prediction python pytorch regression-models resource-utilization surrogate-models vitis vivado

Last synced: 21 Jan 2026

https://github.com/georgeslabreche/opssat-smartcam

On November 8, 2020, this project achieved the first use of deep convolutional neural networks (CNN) on-board a spacecraft.

ai artificial-intelligence esa image-classification image-clustering k-means k-means-clustering kmeans kmeans-clustering machine-learning neural-network neural-networks space spacecraft tensorflow-lite tensorflow2

Last synced: 19 Feb 2026

https://github.com/jenkinsci/machine-learning-plugin

A Jenkins plugin that helps to ease the Machine Learning workflow .

ci jenkins machine-learning

Last synced: 30 Sep 2025

https://github.com/scikit-learn/blog

Hosting the scikit-learn blog.

community data-science machine-learning open-source python scikit-learn

Last synced: 06 Sep 2025

https://github.com/greatgamedota/cnn-in-cpp

CNN implementation in C++ categorizing the MNIST data set

algorithms cnn convolutional-neural-networks machine-learning math neural-network

Last synced: 10 Aug 2025

https://github.com/chifisource/oddframes.jl

The unique data management platform for Julia

data data-science julia machine-learning

Last synced: 13 Aug 2025

https://github.com/harshcasper/ipl-match-predictor

A simple Machine Learning Application developed and deployed on Flask Web Framework to predict an IPL Match Winner 🏏🎰

bootstrap flask flask-application ipl machine-learning machine-learning-algorithms

Last synced: 23 Mar 2025

https://github.com/S4mpl3r/chat-with-pdf

Chat with your PDF files for free, using Langchain, Groq, ChromaDB, and Jina AI embeddings.

chat-with-pdf embeddings groq groq-ai jina langchain llama llama3 llm machine-learning mixtral-8x7b python python3 rag retrieval-augmented-generation

Last synced: 06 Mar 2025

https://github.com/bgreenwell/mlday18

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

decision-trees gradient-boosting-machine machine-learning partial-dependence-plot r random-forest variable-importance-plots

Last synced: 20 Aug 2025

https://github.com/nipreps/eddymotion

Open-source eddy-current and head-motion correction for dMRI.

diffusion-mri dipy distortion-correction dmriprep eddy-curr headmotion machine-learning nipype

Last synced: 28 Aug 2025

https://github.com/autonlab/aqua

AQuA: A Benchmarking Tool for Label Quality Assessment

data-centric-ai data-cleaning data-science label-errors machine-learning robust-machine-learning

Last synced: 16 Jan 2026

https://github.com/DEKHTIARJonathan/FeedCrunch.IO

FeedCrunch.IO - Take RSS Feeds to the next level with personnalized recommendations

django machine-learning natural-language-processing news-aggregator recommender-system rss rss-aggregator rss-feed rss-generator rss-reader social-network social-share social-sharing

Last synced: 04 Apr 2025

https://github.com/alexioannides/lime-interpretable-ml

An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.

data-science interpretability lime machine-learning numpy pandas pydata python scikit-learn

Last synced: 29 Oct 2025

https://github.com/aminkhani/deep-rl

You can see a reference for Books, Articles, Courses and Educational Materials in this field. Implementation of Reinforcement Learning Algorithms and Environments. Python, OpenAI Gym, Tensorflow.

artificial-intelligence atari2600 ddqn deep-learning deep-reinforcement-learning deep-rl deeprl dqn machine-learning policy-gradient proximal-policy-optimization reinforcement-learning

Last synced: 21 Jun 2025

https://github.com/imsanjoykb/sales-and-marketing-analytics

This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.

churn-prediction customer-lifetime-value customer-segmentation machine-learning market-analysis market-response-model predicting-purchase predicting-sales uplift-modeling

Last synced: 30 Oct 2025

https://github.com/ika-rwth-aachen/pclsegmentation

Tensorflow 2.9 Pipeline for Semantic Point Cloud Segmentation with SqueezeSeqV2, Darknet21 and Darknet53.

autonomous-vehicles computer-vision lidar lidar-point-cloud machine-learning point-cloud segmentation semantic-segmentation squeezesegv2 tensorflow

Last synced: 22 Jun 2025

https://github.com/neel-dandiwala/lithium-batteries-rul-ann

An artificial neural network (ANN) based method is developed for achieving more accurate remaining useful life prediction of Lithium Ion batteries subject to condition monitoring. The ANN model takes the capacity attribute as a target against multiple measurement values as the inputs, and the life expectancy as the output.

lithium-ion-batteries machine-learning remaining-useful-life-prediction

Last synced: 21 Jun 2025

https://github.com/shreyansh26/ml_projects

Personal Machine Learning Projects

anomaly-detection machine-learning mnist nltk sentiment-analysis stock-price-prediction style-transfer text-summarization time-series-analysis

Last synced: 10 Apr 2025

https://github.com/dbolya/parc

A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.

deep-learning machine-learning model-selection transfer-learning

Last synced: 11 Jul 2025

https://github.com/federicobruzzone/master-courses

In this repository there are the notes of the Master's Degree in Computer Science @ UniMi

computer-science distributed-systems machine-learning programming-languages

Last synced: 15 Jun 2025

https://github.com/milesgranger/pyrus-nn

Lightweight, easy to use, micro neural network framework written in Rust w/ no python dependencies

machine-learning neural-network neural-networks-from-scratch python rust rust-lang

Last synced: 20 Mar 2025

https://github.com/pydevcasts/travelai

TravelAI is a dedicated team focused on enhancing travel experiences with personalized AI-driven recommendations. We aim to simplify trip planning and make every journey memorable for our users.

cicd composition-api django-rest-framework docker graphana gunicorn machine-learning nginx pinia postgressql tailwind typescript vue-router vue3 vuejs

Last synced: 24 Oct 2025

https://github.com/dair-ai/nlp_highlights

✨ A report of the most important NLP highlights (A Yearly Report - 2018, 2019)

deep-learning machine-learning nlp

Last synced: 03 Apr 2025

https://github.com/schultzer/libblas

BLAS for Rust

algorithms blas linear-algebra machine-learning mathematics science

Last synced: 06 May 2025

https://github.com/simonaco/serverless-cognitive-services

Serverless endpoints calling Cognitive Services APIs

azure azure-functions cognitive-services computer-vision machine-learning serverless

Last synced: 19 Mar 2025

https://github.com/suji04/chat_screenshot_classifier

This convolutional neural network can say if an input image is a chat screen-shot or a normal image

cnn fun-project image-classification image-processing keras-tensorflow machine-learning python

Last synced: 24 Apr 2025

https://github.com/huckiyang/eyenet

ICML 18 workshop - A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases

eyenet icml-ijcai-wcb-2018 machine-learning retinal-images

Last synced: 04 Jan 2026

https://github.com/netket/netket_fidelity

Projected time-dependent Variational Monte Carlo (p-tVMC) method based on infidelity optimization for variational simulation of quantum dynamics.

jax machine-learning neural-network quantum-dynamics variational-method

Last synced: 21 Feb 2026

https://github.com/aradfarahani/khuadvancegeoml

The Advance Python and Machine Learning workshop was organized by the Geology Society of Kharazmi University with collaboration of Water Research Center from April to June at Kharazmi University by Nima Raeisi and Mahdi Farmahini Farahani.

earthscience kharazmi-university machine-learning python

Last synced: 07 Apr 2025

https://github.com/replicahealth/GluPredKit

GluPredKit aims to make blood glucose model training and prediction more accessible.

deep-learning glucose-prediction machine-learning modelling-biological-systems

Last synced: 30 Apr 2025

https://github.com/charlesaverill/satyrn

A Notebook alternative that supports branching code and local collaboration.

data-science full-stack ide jupyter-notebook machine-learning open-source python web-development

Last synced: 11 Apr 2025

https://github.com/viadee/anchorsOnR

Implementation of the Anchors algorithm: Explain black-box ML models

anchors explainable-ai iml machine-learning r rules xai

Last synced: 13 Jul 2025

https://github.com/ilyasmoutawwakil/fcc-machine-learning-with-python

My 5 Machine Learning projects that I've built as part of my freeCodeCamp assignment.

certification course-projects deep-learning fcc fcc-assignment fcc-machine-learning machine-learning python

Last synced: 02 Sep 2025

https://github.com/akshaymogaveera/self-driving-robot-using-neural-network

This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using motor driver. This motor driver will move the robot in required directions. Neural Network is used to train the model by first driving the robot on the specially designed track by labeling the images with the directions to be taken. After the model is trained it can make accurate predictions by processing the images on computer. This approach is better than conventional method which is done by extracting specific feature from images.

arduino artificial-neural-networks driverless-car google gradient-descent keras machine-learning neural-network opencv opencv3-python python raspberry-pi robotics self-driving-car self-driving-car-simulation tensorflow tensorflow-models waymo

Last synced: 18 Jul 2025

https://github.com/britojr/diffi

Interpretation of Isolation Forests

anomaly-detection diffi explainability interpretability machine-learning

Last synced: 10 Mar 2026

https://github.com/markus-k/bisenetv2-tf2

BiSeNet V2 TensorFlow 2 Implementation capable of running on Edge TPUs

bisenetv2 edgetpu image-segmentation image-segmentation-tensorflow machine-learning python tensorflow2 tflite

Last synced: 12 Jul 2025

https://github.com/triagemd/tensorflow-builds

Tensorflow binaries and Docker images compiled with GPU support and CPU optimizations.

bazel cuda cudnn docker gpu machine-learning nvidia python tensorflow tensorflow-serving

Last synced: 09 Jul 2025

https://github.com/akthammomani/Menara-App-Predict-House-Price-CA

Build a Web App called Menara to Predict, Forecast House Prices and search GreatSchools in California - Bay Area

aws-ec2 deep-learning eli5 haversine-distance haversine-formula lime machine-learning neural-network python shap sklearn streamlit supervised-learning time-series unsupervised-learning

Last synced: 10 May 2025

https://github.com/jwuphysics/predicting-spectra-from-images

Predicting galaxy spectra from images

astrophysics convolutional-neural-networks images machine-learning neurips-2020 spectroscopy

Last synced: 14 Apr 2025

https://github.com/dfki-ni/syclops

Syclops is a tool for creating synthetic data from 3D virtual environments with photorealistic renderings and pixel-perfect annotations.

3d-rendering annotation asset-management bounding-boxes computer-vision data-generation dataset-creation depth-estimation instance-segmentation keypoints machine-learning photorealistic point-clouds randomization semantic-segmentation structured-light synthetic-data virtual-environments

Last synced: 14 Jan 2026

https://github.com/activatedgeek/tight-pac-bayes

Code for PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization, NeurIPS 2022

deep-learning machine-learning pac-bayes

Last synced: 12 Apr 2025

https://github.com/maximellerbach/image-processing-using-ai

in this repo, I create models to process image (upscale, debluring...)

deblurring fully-convolutional-networks machine-learning upsampling-and-denoising upscaling

Last synced: 28 Apr 2025

https://github.com/davide-cas/HoloHelp

HoloHelp: HoloLens Object Detection for a Guided Interaction

augmented-reality azure coco coco-dataset csharp custom-vision hololens hololens2 image-object-detection image-processing machine-learning object-detection python

Last synced: 29 Apr 2025

https://github.com/viadee/anchorsonr

Implementation of the Anchors algorithm: Explain black-box ML models

anchors explainable-ai iml machine-learning r rules xai

Last synced: 13 Oct 2025

https://github.com/Lemniscate-world/Neural

Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing (NeuralDbg), it simplifies deep learning development.

automation data-science data-visualization diagrams dsl hyperparameter-optimization lark llms machine-learning neural-architecture-search neural-networks neural-networks-and-deep-learning neural-networks-from-scratch nocode onnx pytorch tensorflow visual-programming-language visualization

Last synced: 13 Oct 2025

https://github.com/bureaucratic-labs/models

Pre-trained models for tokenization, sentence segmentation and so on

conditional-random-fields machine-learning natural-language-processing russian-specific sentence-segmentation tokenization

Last synced: 14 Jan 2026

https://github.com/machine-learning-tokyo/seq2seq-workshop

Seq2Seq workshop materials

deep-learning machine-learning pytorch seq2seq workshop-materials

Last synced: 28 Apr 2025

https://github.com/petrobras/wprautoencoders

This is one of Petrobras' open repositories on GitHub. It contains the WPRAutoencoders project which encompasses a wellbore pressure response generator, a dataset of 20.000 synthetic pressure responses and an autoencoder neural network capable of clustering this data based on transmissibility and reservoir geometry.

autoencoders clustering data-science deep-learning machine-learning well-testing

Last synced: 26 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: 28 Jul 2025

https://github.com/johnolafenwa/torchfusion-utils

A pytorch helper library for Mixed Precision Training, Initialization, Metrics and More Utilities to simplify training of deep learning models

deeplearning initializer machine-learning metrics mixed-precision-training nvidia python pytorch

Last synced: 01 Aug 2025

https://github.com/yfletberliac/mango

Question-Answering NLP model with character-level RNN (TensorFlow).

character-level-rnn deep-learning machine-learning nlp rnn tensorflow

Last synced: 06 Apr 2025

https://github.com/AmirMotefaker/Create-your-own-ChatGPT

Create your own ChatGPT with Python

ai artificial-intelligence chatgpt chatgpt-api chatgpt3 large-language-model llm machine-learning ml openai openai-api python rlhf

Last synced: 29 Mar 2025

https://github.com/hchiam/learning

What I'm learning/practicing

angularjs api backend chrome-extension conlang frontend game genetic-algorithm google-voice-assistant javascript machine-learning plugin programming-language python react server svelte unit-testing vue

Last synced: 24 Jul 2025

https://github.com/dekhtiarjonathan/feedcrunch.io

FeedCrunch.IO - Take RSS Feeds to the next level with personnalized recommendations

django machine-learning natural-language-processing news-aggregator recommender-system rss rss-aggregator rss-feed rss-generator rss-reader social-network social-share social-sharing

Last synced: 10 Apr 2025

https://github.com/ksdkamesh99/ml-in-dava

The repository contains various python jupyter notebooks of predicting different medical diseases from various open source datasets.The following medical diseases predicted are cancer,,diabeties,kidney diseases,heart disease,liver diseases,spine disease using variou machine learning classification algorithms like KNN,Logistic Regression,Support Vector Machine,Decision Tree,Random Forest

decision-tree heatmap knn logistic-regression machine-learning medicine random-forest sklearn support-vector-machine

Last synced: 12 May 2025

https://github.com/hoangsonww/customizable-ai-chatbot

🧬 Build your own conversational AI in minutes (or seconds!) with this customizable chatbot template, utilizing modern technologies like Next.js, Tailwind CSS, RAG, Pinecone, and powerful LLM/GenAI APIs (with chunk streaming!) including OpenAI, Fireworks AI, and Anthropic AI. Time to unleash your creativity and transform ideas into reality! 🚀

airflow anthropic artificial-intelligence fireworks fullstack-development machine-learning natural-language-processing next nextjs nlp openai pinecone rag responsive-design retrieval-augmented-generation tailwindcss transformers typescript vector vercel

Last synced: 13 May 2025

https://github.com/plstcharles/thelper

Training framework & tools for PyTorch-based machine learning projects.

data-augmentation data-loader deep-learning machine-learning models pytorch training

Last synced: 18 Mar 2025

https://github.com/brian-hepler-phd/spherical-cnn

Interactive exploration of equivariant neural networks on homogeneous spaces, with a focus on the sphere S² as SO(3)/SO(2). From Lecture 8 of the Lie groups course with Quantum Formalism

e3nn equivariant-neural-networks geometric-deep-learning homogeneous-spaces lie-groups machine-learning pytorch representation-theory scientific-computing spherical-cnn

Last synced: 02 Aug 2025

https://github.com/Gr122lyBr/voicetag

Speaker identification powered by pyannote and resemblyzer

audio-transcription deep-learning deepgram diarization groq machine-learning nlp pyannote python resemblyzer speaker-diarization speaker-identification speaker-recognition speech-processing speech-to-text transcription voice-recognition whisper whisper-ai

Last synced: 03 Apr 2026

https://github.com/wkirgsn/deep-pmsm

Estimate intrinsic Permanent Magnet Synchronous Motor temperatures with deep recurrent and convolutional neural networks.

bayesian-optimization convolutional-neural-networks deep-learning electric-motor electric-vehicles keras machine-learning recurrent-neural-networks regression temperature-monitoring time-series

Last synced: 01 Aug 2025

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

🟣 NumPy 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 numpy numpy-interview-questions numpy-questions numpy-tech-interview software-engineer-interview technical-interview-questions

Last synced: 30 Oct 2025

https://github.com/neuml/txtai.py

Python client for txtai

machine-learning nlp python search

Last synced: 31 Oct 2025

https://github.com/lintangwisesa/python_fundamental_datascience

Python 🐍 for Jr Data Scientist 📈📊📉

data-science machine-learning python

Last synced: 12 Sep 2025

https://github.com/goldstraw/rust_cnn

Rust convolutional neural network from scratch

cnn convolutional-neural-network machine-learning rust

Last synced: 25 Sep 2025

https://github.com/microsoft/internet-in-a-box

Enabling data-informed network simulation

machine-learning network-measurement network-simulation

Last synced: 02 May 2026

https://github.com/tushar2704/streamlit-magic-cheat-sheets

Streamlit Magic Cheat Sheets- All of Streamlit in one Streamlit App!(Available in English, Français & Deutsch.)

data-science machine-learning python snowflake streamlit streamlit-tushar2704 tushar2704 webapp

Last synced: 27 Apr 2026

https://github.com/ultralytics/.github

Ultralytics GitHub default .github repository.

ai computer-vision deep-learning hub machine-learning ml ultralytics yolo yolov5 yolov8

Last synced: 27 Oct 2025

https://github.com/magenta/bach-doodle-visualization

Interactive visualizations for the Bach Doodle dataset

doodle interactive machine-learning visualization

Last synced: 18 Oct 2025

https://github.com/sjkaliski/infer-lambda-api

Deploy an Image Recognition API using Go, Terraform, Lambda, and API Gateway.

aws aws-lambda go golang lambda machine-learning tensorflow terraform

Last synced: 26 Feb 2026

https://github.com/secretflow/serving

SecretFlow-Serving is a serving system for privacy-preserving machine learning models.

federated-learning machine-learning privacy-preserving secure-multiparty-computation serving serving-ml

Last synced: 01 Feb 2026

https://github.com/rembertdesigns/AI-Agent-Platforms-Automation-Tools

Comprehensive, community-curated directory of autonomous AI agents, frameworks, platforms, and automation tools for developers and enterprises. Explore the latest in multi-agent collaboration, coding automation, workflow orchestration, and domain-specific AI assistants.

agent-orchestration ai-agents ai-automation ai-development ai-frameworks ai-research automation-tools autonomus-agents coding-assistants conversational-ai enterprise-ai llm-agents machine-learning multi-agent-systems natual-language-processing no-code-ai open-source-ai productivity-tools software-development workflow-automation

Last synced: 18 Mar 2026

https://github.com/stefanbratanov/jvm-openai

A minimalistic OpenAI API client for the JVM, written in Java

ai api chatgpt dall-e gpt-3 gpt-4 java jvm library machine-learning microsoft openai openai-api

Last synced: 27 Feb 2026

https://github.com/gasteigerjo/gtn

Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)

graph-distance graph-neural-network machine-learning paper

Last synced: 02 Apr 2026

https://github.com/olafurjohannsson/kjarni

Native AI inference engine — embeddings, classification, reranking, search, and text generation. Rust core with C# bindings. No Python, no ONNX, no CUDA.

classification csharp dotnet embeddings inference llama llm machine-learning nlp rag rust semantic-search sentence-embeddings sentiment-analysis seq2seq text-generation transformers webgpu whisper