Showing 571 open source projects for "machine learning platform"

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

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  • 1
    PyOpenCL

    PyOpenCL

    OpenCL integration for Python, plus shiny features

    ...PyOpenCL also includes convenient features for managing memory, compiling kernels, and interfacing with NumPy, making it a preferred choice in scientific computing, data analysis, and machine learning workflows that demand acceleration.
    Downloads: 0 This Week
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  • 2
    RA.Aid

    RA.Aid

    Develop software autonomously

    ...It integrates seamlessly with various development environments, providing intelligent code suggestions, automated documentation generation, and real-time error detection. By leveraging advanced machine learning models, RA.Aid aims to reduce development time and improve code quality.​
    Downloads: 0 This Week
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  • 3
    Earth Engine API

    Earth Engine API

    Python and JavaScript bindings for calling the Earth Engine API

    The Earth Engine API provides Python and JavaScript client libraries for Google Earth Engine, a planetary-scale geospatial analysis platform. With it, users compose lazy, server-side computations over massive catalogs of satellite imagery and vector datasets without handling raw files locally. The API exposes functional operators for map algebra, reducers, joins, and machine learning that scale transparently on Earth Engine’s backend. Developers authenticate once, work interactively in notebooks or the Code Editor, and export results to Cloud Storage, Drive, or asset collections. ...
    Downloads: 6 This Week
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  • 4
    KServe

    KServe

    Standardized Serverless ML Inference Platform on Kubernetes

    KServe provides a Kubernetes Custom Resource Definition for serving machine learning (ML) models on arbitrary frameworks. It aims to solve production model serving use cases by providing performant, high abstraction interfaces for common ML frameworks like Tensorflow, XGBoost, ScikitLearn, PyTorch, and ONNX. It encapsulates the complexity of autoscaling, networking, health checking, and server configuration to bring cutting edge serving features like GPU Autoscaling, Scale to Zero, and Canary Rollouts to your ML deployments. ...
    Downloads: 0 This Week
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  • Your monitoring isn't a stack. It's a pile. Fix that. Icon
    Your monitoring isn't a stack. It's a pile. Fix that.

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  • 5
    PortKiller

    PortKiller

    A powerful cross-platform port management tool for developers

    PortKiller is a cross-platform port management tool for developers that makes it easy to monitor network ports, manage Kubernetes port forward sessions, integrate Cloudflare Tunnels, and kill processes using a friendly UI. It auto-discovers all listening TCP ports on your machine, lets you filter and search through them, and provides one-click graceful or forceful termination of processes holding those ports.
    Downloads: 6 This Week
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  • 6
    Apache Flink

    Apache Flink

    Stream processing framework with powerful stream

    ...Developers program against high-level APIs—DataStream and Table/SQL—to express transformations, joins, and stateful patterns, while specialized libraries support CEP, machine learning workflows, and connectors. A rich connector ecosystem integrates with systems like Kafka, Kinesis, filesystems, JDBC sources/sinks, and object stores. Deployments span Kubernetes, YARN, Mesos, and standalone clusters, and operational features such as savepoints, state backends, and metrics make long-running jobs manageable in production.
    Downloads: 6 This Week
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  • 7
    Optuna

    Optuna

    A hyperparameter optimization framework

    Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API. Thanks to our define-by-run API, the code written with Optuna enjoys high modularity, and the user of Optuna can dynamically construct the search spaces for the hyperparameters. Optuna Dashboard is a real-time web dashboard for Optuna. You can check the optimization history, hyperparameter importances, etc. in graphs and tables. ...
    Downloads: 1 This Week
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  • 8
    Public APIs

    Public APIs

    A collective list of free APIs

    ...Curated by community contributors and the team at APILayer, it serves as a centralized resource for discovering APIs across a wide range of domains, including data, machine learning, weather, entertainment, and finance. The project aims to make API exploration and integration more accessible by offering a single, organized index of open and free-to-use APIs. Developers can leverage this list to enhance their products, prototypes, or research projects without the need to build data sources from scratch. ...
    Downloads: 0 This Week
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  • 9
    Opacus

    Opacus

    Training PyTorch models with differential privacy

    Opacus is a library that enables training PyTorch models with differential privacy. It supports training with minimal code changes required on the client, has little impact on training performance, and allows the client to online track the privacy budget expended at any given moment. Vectorized per-sample gradient computation that is 10x faster than micro batching. Supports most types of PyTorch models and can be used with minimal modification to the original neural network. Open source,...
    Downloads: 0 This Week
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    Enterprise-grade ITSM, for every business

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  • 10
    Lightweight' GAN

    Lightweight' GAN

    Implementation of 'lightweight' GAN, proposed in ICLR 2021

    Implementation of 'lightweight' GAN proposed in ICLR 2021, in Pytorch. The main contribution of the paper is a skip-layer excitation in the generator, paired with autoencoding self-supervised learning in the discriminator. Quoting the one-line summary "converge on single gpu with few hours' training, on 1024 resolution sub-hundred images". Augmentation is essential for Lightweight GAN to work effectively in a low data setting. You can test and see how your images will be augmented before...
    Downloads: 0 This Week
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  • 11
    Qiling

    Qiling

    Qiling Advanced Binary Emulation Framework

    Cross-platform and multi-arch ultra lightweight emulator. Supported OS: Linux, MacOS, Windows, FreeBSD, DOS and UEFI. Support Arch: x86(16/32/64), ARM(64) MIPS, EVM and WASM. It also support Linux Kernel Module(.ko) , Windows Driver(.sys) and MacOS Kernel(.kext) via Demigod. Binary instrumentation and API are Qiling Framework's main focus and priority.
    Downloads: 1 This Week
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  • 12
    macOS (Dockur)

    macOS (Dockur)

    macOS inside a Docker container

    ...Performance depends on host capabilities and whether hardware acceleration is available, but for light GUI tasks, tooling, or sandboxing, it’s surprisingly practical. Users should bring their own valid media and licenses, and be mindful of platform terms and host resource limits.
    Downloads: 8 This Week
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  • 13
    Computer Science courses video lectures

    Computer Science courses video lectures

    List of Computer Science courses with video lectures

    This repository is a curated list of full-length computer science video lecture series across many universities and MOOC platforms, helping learners assemble their own curriculum. The list spans foundational topics like algorithms, data structures, operating systems, computer networks, machine learning, and more, all delivered via lectures rather than just textual tutorials. The contributor guidelines encourage adding high-quality courses (not just casual tutorials) so the list remains academically oriented. Because it’s updated and community maintained, the collection grows with new offerings and helps learners evaluate what courses are available before starting. ...
    Downloads: 1 This Week
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  • 14
    NASM

    NASM

    A cross-platform x86 assembler with an Intel-like syntax

    NASM (Netwide Assembler) is a widely used, open-source assembler for the x86 architecture that provides a flexible and portable way to write low-level machine code using an Intel-style syntax. It is designed to support a wide variety of output formats, making it suitable for different operating systems and development environments. NASM is known for its simplicity and clarity, allowing developers to write assembly code that is both readable and efficient. It is commonly used in system...
    Downloads: 25 This Week
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  • 15
    Tiny CUDA Neural Networks

    Tiny CUDA Neural Networks

    Lightning fast C++/CUDA neural network framework

    This is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning-fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers. We provide a sample application where an image function (x,y) -> (R,G,B) is learned. The fully fused MLP component of this framework requires a very large amount of shared...
    Downloads: 1 This Week
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  • 16
    MinIO

    MinIO

    High performance object storage server compatible with Amazon S3 APIs

    MinIO is a high performance object storage server that is API compatible with Amazon S3 cloud storage service. MinIO makes it easy to build high performance, cloud native data infrastructure for machine learning, analytics and application data workloads. It is incredibly fast, enabling object storage to operate as the primary storage tier for a diverse set of workloads. It is also built to be cloud native and enterprise ready. MinIO is being used worldwide in various production deployments, and is leading the way as the most downloaded object storage server in the industry.
    Downloads: 15 This Week
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  • 17
    APIAuto

    APIAuto

    The most advanced tool for HTTP API

    The most powerful and easy-to-use HTTP interface tool for agile development, machine learning zero-code testing, code generation and static inspection, document generation and cursor suspension comments. A one-stop experience integrating documentation, testing, mocking, debugging, and management, as well as efficient and easy-to-use shortcut keys such as one-key formatting, commenting/uncommenting, etc. In terms of common functions, it far exceeds Postman, Swagger, YApi and other open-source and commercial API documentation/testing tools, and can import use cases and documents with one click. ...
    Downloads: 0 This Week
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  • 18
    Argo Workflows

    Argo Workflows

    Workflow engine for Kubernetes

    ...Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a directed acyclic graph (DAG). Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes. Run CI/CD pipelines natively on Kubernetes without configuring complex software development products. Argo Workflows is the most popular workflow execution engine for Kubernetes. It can run 1000s of workflows a day, each with 1000s of concurrent tasks. ...
    Downloads: 0 This Week
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  • 19
    Gen.jl

    Gen.jl

    A general-purpose probabilistic programming system

    An open-source stack for generative modeling and probabilistic inference. Gen’s inference library gives users building blocks for writing efficient probabilistic inference algorithms that are tailored to their models, while automating the tricky math and the low-level implementation details. Gen helps users write hybrid algorithms that combine neural networks, variational inference, sequential Monte Carlo samplers, and Markov chain Monte Carlo. Gen features an easy-to-use modeling language...
    Downloads: 0 This Week
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  • 20
    Superduper

    Superduper

    Superduper: Integrate AI models and machine learning workflows

    Superduper is a Python-based framework for building end-2-end AI-data workflows and applications on your own data, integrating with major databases. It supports the latest technologies and techniques, including LLMs, vector-search, RAG, and multimodality as well as classical AI and ML paradigms. Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. This...
    Downloads: 0 This Week
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  • 21
    ArrayFire

    ArrayFire

    ArrayFire, a general purpose GPU library

    ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if...
    Downloads: 0 This Week
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  • 22
    Logseq

    Logseq

    A privacy-first, open-source platform for knowledge management

    Logseq is a privacy-first, open-source knowledge base that works on top of local plain-text Markdown and Org-mode files. Use it to write, organize and share your thoughts, keep your to-do list, and build your own digital garden. Logseq is a platform for knowledge management and collaboration. It focuses on privacy, longevity, and user control. The server will never store or analyze your private notes. Your data are plain text files and we currently support both Markdown and Emacs Org-mode...
    Downloads: 24 This Week
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  • 23
    GSY GitHub App Flutter

    GSY GitHub App Flutter

    GSY Github App is a full-featured open-source cross-platform

    GSY Github App is a full-featured open-source cross-platform GitHub client built in Flutter. It covers extensive GitHub functionality—repos, issues, PRs, user data—leveraging modern state management (Redux, Riverpod, Provider), multi-language support, theming, network and database optimizations. Available for mobile and desktop (though mobile is the primary focus).
    Downloads: 0 This Week
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  • 24
    Tile Kernels

    Tile Kernels

    A kernel library written in tilelang

    Tile Kernels is a DeepSeek kernel library written with TileLang for high-performance AI and machine-learning workloads. It contains specialized kernels for areas such as mixture-of-experts routing, quantization, batched transpose operations, Engram gating, and Manifold HyperConnection components. The project includes both optimized kernel implementations and PyTorch reference versions for comparison and validation. It is aimed at developers and researchers who work close to model internals and need efficient low-level building blocks. ...
    Downloads: 0 This Week
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  • 25
    BayesianOptimization

    BayesianOptimization

    A Python implementation of global optimization with gaussian processes

    BayesianOptimization is a Python library that helps find the maximum (or minimum) of expensive or unknown objective functions using Bayesian optimization. This technique is especially useful for hyperparameter tuning in machine learning, where evaluating the objective function is costly. The library provides an easy-to-use API for defining bounds and optimizing over parameter spaces using probabilistic models like Gaussian Processes.
    Downloads: 2 This Week
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