Search Results for "ml" - Page 10
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Showing 580 open source projects for "ml"
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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ALG
A Fast, Offline, Graphical distribution based on Arch Linux
October 2025 ISOs have been released! 3 new ISOs - PLASMA, GNOME, XFCE have been released. Thank you to all the members in the ALG community for their support. -
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SageMaker Spark
A Spark library for Amazon SageMaker
SageMaker Spark is an open-source Spark library for Amazon SageMaker. With SageMaker Spark you construct Spark ML Pipelines using Amazon SageMaker stages. These pipelines interleave native Spark ML stages and stages that interact with SageMaker training and model hosting. With SageMaker Spark, you can train on Amazon SageMaker from Spark DataFrames using Amazon-provided ML algorithms like K-Means clustering or XGBoost, and make predictions on DataFrames against SageMaker endpoints hosting your trained models, and, if you have your own ML algorithms built into SageMaker compatible Docker containers, you can use SageMaker Spark to train and infer on DataFrames with your own algorithms -- all at Spark scale. ... -
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Plum Cave Twofish
A version of Plum Cave that uses the ChaCha20 and Twofish ciphers
A version of Plum Cave that employs the "ChaCha20 + Twofish-256 CBC + HMAC-SHA3-512" authenticated encryption scheme for data encryption and ML-KEM-1024 for quantum-resistant key exchange. -
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LKM FOR NDM-TCP. ML BASED TCP PROTOCOL. PREFERRED FOR STABLITILY AND MINIMUM RTT OVER THROUGHOUTPUT.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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hookprobe
Free AI that blocks hackers while you sleep. Runs on cheap hardware
...It combines eBPF/XDP kernel-level packet filtering with machine learning threat classification to deliver autonomous network security with zero cloud dependency. The stack includes NAPSE (AI packet inspection), HYDRA (threat intelligence pipeline), SENTINEL (ML classification engine), and AEGIS (autonomous defense orchestrator). In production, a single Raspberry Pi 5 processes 11M+ security events, classifies 177K ML verdicts, and tracks 11,800+ attacker IPs — all autonomously. Key features: - 5-minute install on Raspberry Pi 5 or any Linux device - eBPF/XDP wire-speed packet filtering and DDoS mitigation - ML-based threat classification (benign/suspicious/malicious - Real-time QSecBit security posture scoring - Web dashboard with live threat visualization - Post-quantum cryptography (Kyber KEM) - Collective mesh defense across nodes -
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Plum Cave
A cloud backup solution that employs advanced cryptography
A cloud backup solution that employs the "ChaCha20 + Serpent-256 CBC + HMAC-SHA3-512" authenticated encryption scheme for data encryption and ML-KEM-1024 for quantum-resistant key exchange. Check it out at https://plum-cave.netlify.app/ GitHub page: https://github.com/Northstrix/plum-cave -
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Sagify
LLMs and Machine Learning done easily
Sagify is a tool designed to simplify the process of deploying and managing machine learning models, including Large Language Models (LLMs), on AWS SageMaker. It abstracts the complexities involved in setting up and managing SageMaker resources, allowing developers to focus on building and fine-tuning models. Sagify provides a command-line interface (CLI) and supports various machine-learning frameworks, making it accessible for a wide range of users. -
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Data Annotator for Machine Learning
Data annotator for machine learning
Data annotator for machine learning allows you to centrally create, manage and administer annotation projects for machine learning. Data Annotator for Machine Learning (DAML) is an application that helps machine learning teams facilitate the creation and management of annotations. Active learning with uncertain sampling to query unlabeled data. Project tracking with real-time data aggregation and review process. User management panel with role-based access control. -
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Fully Homomorphic Encryption
An FHE compiler for C++
This repository gathers Google’s practical tooling for Fully Homomorphic Encryption (FHE), focused on making it possible to run computations on encrypted data without ever decrypting it. At its core is a “transpiler” that converts ordinary functions (typically written in a restricted subset of C++ or similar) into FHE circuits, plus backends that execute those circuits with different FHE libraries. The workflow usually mirrors normal software development: write and test a cleartext... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Meshwork Analysis terminal
Quantitative analytical Finance Terminal
MWA Finance Terminal allows users to research and obtain data about various financial instruments and allows them to perform Statistical analysis with Various ML Technologies. It's divided into Modules and Options within them. -
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Lots of small projects: games, VST plugins, experimental IRC server, ROM hacking tools, net tools, font tools, html tools, etc. Browse CVS!
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aphasia is an advanced scripting language for the web. It features a type-safe core, C++ modules with signatures, an optimizing "compiler", higher-order functions, built-in database support, garbage collection, and more.
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Stake-predictor
The Stake Crash Predictor is a tool designed to predict the next multi
...Features Data Analysis: The predictor leverages historical market data to identify patterns and trends that may indicate an upcoming crash. Machine Learning Models: Advanced ML models are employed to learn from the historical data and make accurate crash predictions. Real-time Monitoring: The predictor continuously monitors the stake winning and losing rates, updating predictions in real-time based on new data. User-Friendly Interface: The tool offers a user-friendly interface, allowing players to easily interact with the predictor and get predictions. ... -
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HOL is a system for proving theorems in Higher Order Logic. It comes with a large variety of existing theories formalising various parts of mathematics and theoretical computer science.
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Blueberry Loom
Cryptographically reinforced form builder
A form builder that utilizes ML-KEM-1024, as well as the "ChaCha20 + Serpent-256 CBC + HMAC-SHA3-512" authenticated encryption scheme to enable end-to-end encryption for enhanced data protection. GitHub repository: https://github.com/Northstrix/blueberry-loom -
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Datapipe
Real-time, incremental ETL library for ML with record-level depend
Datapipe is a real-time, incremental ETL library for Python with record-level dependency tracking. Datapipe is designed to streamline the creation of data processing pipelines. It excels in scenarios where data is continuously changing, requiring pipelines to adapt and process only the modified data efficiently. This library tracks dependencies for each record in the pipeline, ensuring minimal and efficient data processing. -
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Xfl
An Efficient and Easy-to-use Federated Learning Framework
XFL is a lightweight, high-performance federated learning framework supporting both horizontal and vertical FL. It integrates homomorphic encryption, DP, secure MPC, and optimizes network resilience. Compatible with major ML libraries and deployable via Docker or Conda. -
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Plum Harbor
An open-source file sharing app built using Next.js and Perplexity.
An open-source file sharing app built using Next.js and Perplexity. The app employs ML-KEM-1024, ChaCha20, Serpent-256, and HMAC-SHA512 to ensure data confidentiality and integrity. The app is also equipped with a dedicated password vault. Check it out at https://plum-harbor.netlify.app/ GitHub page: https://github.com/Northstrix/plum-harbor Codeberg page: https://codeberg.org/Northstrix/plum-harbor The app is available in English and Hebrew. -
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snorkel
A system for quickly generating training data with weak supervision
The Snorkel team is now focusing their efforts on Snorkel Flow, an end-to-end AI application development platform based on the core ideas behind Snorkel. The Snorkel project started at Stanford in 2016 with a simple technical bet: that it would increasingly be the training data, not the models, algorithms, or infrastructure, that decided whether a machine learning project succeeded or failed. Given this premise, we set out to explore the radical idea that you could bring mathematical and... -
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TensorFlow Model Optimization Toolkit
A toolkit to optimize ML models for deployment for Keras & TensorFlow
The TensorFlow Model Optimization Toolkit is a suite of tools for optimizing ML models for deployment and execution. Among many uses, the toolkit supports techniques used to reduce latency and inference costs for cloud and edge devices (e.g. mobile, IoT). Deploy models to edge devices with restrictions on processing, memory, power consumption, network usage, and model storage space. Enable execution on and optimize for existing hardware or new special purpose accelerators. -
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Featureform
Turn your existing data infrastructure into a feature store
Featureform allows data scientists to define, manage, and serve machine learning features across your organization. The days of untitled_128.ipynb are over. Transformations, features, and training sets can be pushed from notebooks to a centralized feature repository with metadata like name, variant, lineage, and owner. Featureform's Virtual Feature Store architecture orchestrates your data infrastructure to build and maintain your training sets and production features. It offers a framework... -
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json-scada
A portable SCADA/IoT platform centered on the MongoDB database server.
Standard IT tools applied to SCADA/IoT (MongoDB, PostgreSQL/TimescaleDB,Node.js, C#, Golang, Grafana, etc.). MongoDB as the real-time core database, persistence layer, config store, SOE historian. Portability and interoperability over Linux, Windows, x86/64, ARM. Horizontal scalability, from a single computer to big clusters (MongoDB-sharding), Bare Metal, Docker containers, VM, cloud, or hybrid deployments. Unlimited tags, servers, and users. HTML5 Web interface. UTF-8/I18N. Protocols:... -
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Plum Harbor Deutsch
German version of the "Plum Harbor" file sharing app.
Eine experimentelle Dateifreigabe App, die mit Next.js und Perplexity entwickelt wurde und es den Nutzern ermöglicht, Dateien einfach zu teilen, zu empfangen, zu senden und erneut zu senden. Die App verwendet ML-KEM-1024, ChaCha20, Serpent-256 und HMAC-SHA512, um die Vertraulichkeit und Integrität der Daten zu gewährleisten. Außerdem ist die App mit einem speziellen Passwortspeicher ausgestattet. Schau es dir an unter: https://plum-harbor-deutsch.netlify.app/ GitHub: https://github.com/Northstrix/plum-harbor-deutsch Codeberg: https://codeberg.org/Northstrix/plum-harbor-deutsch English Version: Deployed app: https://plum-harbor.netlify.app/ SourceForge: https://sourceforge.net/projects/plum-harbor/ GitHub page: https://github.com/Northstrix/plum-harbor Codeberg page: https://codeberg.org/Northstrix/plum-harbor -
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Halfrost-Field Frostland
This is the place to blog
...Beyond ML, the repo reflects the author’s interests across cloud native infra, distributed systems, programming languages (Go, Rust), DevOps, algorithms, and more — making it a broad reference for learners or engineers seeking well-written, deep-dive articles. -
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JesseAi
Advanced AI-Powered Python Crypto Trading Bot 2026 - Free Backtesting
...One of the best open-source alternatives to Freqtrade with genuine AI edge: privacy-first self-hosting (no shared API keys), multi-timeframe/symbol backtesting, custom indicators, ML-enhanced signals. Perfect for Python devs, algorithmic traders, high-frequency, trend-following, mean-reversion & arbitrage enthusiasts seeking the top ai crypto trading bot or best crypto trading bot in 2026. Automate your crypto edge — download now & start winning! Join the future of crypto!
