Search Results for "scikit-learn" - Page 16
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Showing 1969 open source projects for "scikit-learn"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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faasd
A lightweight & portable faas engine
...Under the hood it uses containers and Container Networking Interface (CNI) along with the same core OpenFaaS components from the main project. To deploy microservices and functions that you can update and monitor remotely. When you don't have the bandwidth to learn or manage Kubernetes. To deploy embedded apps in IoT and edge use-cases. To distribute applications to a customer or client. You have a cost sensitive project - run faasd on a 1GB VM for 5-10 USD / mo or on your Raspberry Pi. When you just need a few functions or microservices, without the cost of a cluster. -
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optparse-applicative
Applicative option parser
...If you are familiar with parser combinator libraries like parsec, attoparsec, or the json parser aeson you will feel right at home with optparse-applicative. If not, don't worry! All you really need to learn are a few basic parsers, and how to compose them as instances of Applicative and Alternative. -
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rudderstack
Privacy and Security focused Segment-alternative, in Golang
...Our SDKs track anonymous and known users at the source and reconcile users in your warehouse and SaaS tools. Go beyond event streaming and control all of your customer data on your own terms. Learn how we can help you build a customer data platform. RudderStack treats your data warehouse as a first-class citizen among destinations, with advanced features and configurable, near real-time sync. RudderStack is built API-first. It integrates seamlessly with the tools that the developers already use and love. -
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Spring Data MongoDB
Provide support to increase developer productivity in Java
The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. The Spring Data MongoDB project aims to provide a familiar and consistent Spring-based programming model for new datastores while retaining store-specific features and capabilities. The Spring Data MongoDB project provides integration with the MongoDB document... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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ObjectBox
Flutter database for super-fast Dart object persistence
...Minimal CPU, memory and battery use make it an ideal choice for mobile and IoT devices. Made for efficient data access, the ObjectBox Flutter database is 10x faster than any alternative. See the performance benchmarks below. No need to learn SQL, as our NoSQL database uses a pure Dart API that is easy to work with and can be integrated in minutes. Plus: We built a data synchronization solution that allows you to choose which objects to sync when and keep data easily and efficiently in sync across devices. Improving response rates and enabling real-time applications. ... -
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DeepCTR-Torch
Easy-to-use,Modular and Extendible package of deep-learning models
...The data in the CTR estimation task usually includes high sparse,high cardinality categorical features and some dense numerical features. Low-order Extractor learns feature interaction through product between vectors. Factorization-Machine and it’s variants are widely used to learn the low-order feature interaction. High-order Extractor learns feature combination through complex neural network functions like MLP, Cross Net, etc. -
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Amazon CodeGuru Profiler Python Agent
Amazon CodeGuru Profiler Python Agent
Amazon CodeGuru Profiler collects runtime performance data from your live applications and provides recommendations that can help you fine-tune your application performance. Using machine learning algorithms, CodeGuru Profiler can help you find your most expensive lines of code and suggest ways you can improve efficiency and remove CPU bottlenecks. CodeGuru Profiler provides different visualizations of profiling data to help you identify what code is running on the CPU, see how much time is... -
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dasel
Select, put and delete data from JSON, TOML, YAML, XML and CSV files
...Say goodbye to learning new tools just to work with a different data format. Dasel uses a standard selector syntax no matter the data format. This means that once you learn how to use dasel you immediately have the ability to query/modify any of the supported data types without any additional tools or effort. Dasel can be imported and used just like any other go package. This can be very useful if you need to manipulate data from your own applications. From then on the rest of the docs and comments should be enough to get you going. ... -
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.NET Interactive
.NET Interactive takes .NET and embeds it into your experiences
.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before. We recently introduced the .NET Interactive Notebooks extension for Visual Studio Code, which adds support for .NET Interactive using the new Visual Studio Code native notebook feature. We encourage you to try it out. .NET Interactive enables users to mix languages in a single notebook or cell without a wrapper. ... -
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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RxDB
Client side, offline-first, reactive database for JavaScript apps
RxDB (short for Reactive Database) is a NoSQL-database for JavaScript Applications like Websites, hybrid Apps, Electron-Apps, Progressive Web Apps and Node.js. Reactive means that you can not only query the current state but subscribe to all state changes like the result of a query or even a single field of a document. This is great for UI-based real-time applications in a way that makes it easy to develop and also has great performance benefits. To replicate data between your clients and... -
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Cookiecutter Data Science
Project structure for doing and sharing data science work
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. When we think about data analysis, we often think just about the resulting reports, insights, or visualizations. While these end products are generally the main event, it's easy to focus on making the products look nice and ignore the quality of the code that generates them. Because these end products are created programmatically, code quality is still important! And we're not talking... -
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Cucumber
Cucumber for Ruby
...Validate executable specifications against your code on any modern development stack. 40+ million open source downloads, the #1 tool for BDD. CucumberStudio is the leading collaboration platform for BDD - an easy-to-use tool to define ideas, test code, and learn in production from real-time insight. -
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fp-ts
Functional programming in TypeScript
...Data types are the practical part of fp-ts: you can instantiate them with your data to gain properties and functionality that are useful for solving a specific need. Because data types all share common interfaces (through type classes), once you learn how to use one data type, you can apply the same concepts to the others. -
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Senparc
Quickly and easily develop WeChat full-platform applications
Using Senparc.Weixin, you can quickly and easily develop WeChat full-platform applications (including WeChat Official Accounts, Mini Programs, Mini Games, Enterprise Accounts, Open Platforms, WeChat Pay, JS-SDK, WeChat Hardware/Bluetooth, etc.). The Demo of this project is also suitable for beginners to learn .NET programming. Senparc.Weixin SDK is currently the most used WeChat .NET SDK and one of the most popular .NET open source projects in China. Since the establishment of the project in 2013 for more than 7 years, we have kept the project continuously updated, and shared the complete source code and design ideas with everyone without reservation. ... -
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AWS Cloud Development Kit (AWS CDK)
A framework for defining cloud infrastructure in code
The AWS Cloud Development Kit (AWS CDK) is an open source software development framework to define your cloud application resources using familiar programming languages. Provisioning cloud applications can be a challenging process that requires you to perform manual actions, write custom scripts, maintain templates, or learn domain-specific languages. AWS CDK uses the familiarity and expressive power of programming languages for modeling your applications. It provides you with high-level components called constructs that preconfigure cloud resources with proven defaults, so you can build cloud applications without needing to be an expert. AWS CDK provisions your resources in a safe, repeatable manner through AWS CloudFormation. ... -
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rustlings
Small exercises to get you used to reading and writing Rust code
...Alternatively, for a first-time Rust learner, there are several other resources, like The Book, which is the most comprehensive resource for learning Rust, but a bit theoretical sometimes. You will be using this along with Rustlings! And also, Rust By Example, to learn Rust by solving little exercises! It's almost like rustlings, but online. You will need to have Rust installed. The exercises are sorted by topic and can be found in the subdirectory rustlings/exercises/<topic>. For every topic there is an additional README file with some resources to get you started on the topic. We really recommend that you have a look at them before you start. ... -
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Deep Java Library (DJL)
An engine-agnostic deep learning framework in Java
...DJL provides native Java development experience and functions like any other regular Java library. You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your favorite IDE to build, train, and deploy your models. DJL makes it easy to integrate these models with your Java applications. Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects. You can switch engines at any point. ... -
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Kubernetes Goat
Kubernetes Goat is a "Vulnerable by Design" cluster environment
...Also, learn best practices, defenses, and tools to mitigate, and detect in the real world. Learn the hacks, defenses, and tools. So that you can think like an attacker, and secure your Kubernetes, cloud, and container workloads right from the design, code, and architecture itself to prevent them. Use Kubernetes Goat to showcase the effectiveness of the tools, product, and solution. -
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LLaMA-Mesh
Unifying 3D Mesh Generation with Language Models
...By serializing 3D geometry into text tokens, the approach allows existing transformer architectures to generate and interpret 3D models without requiring specialized visual tokenizers. The project includes a supervised fine-tuning dataset composed of interleaved text and mesh data, allowing the model to learn relationships between textual descriptions and 3D structures. As a result, the model can generate mesh models directly from text prompts, explain mesh structures in natural language, or output mixed text-and-mesh sequences. This unified representation enables a single model to operate across both textual and spatial domains. -
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Must-Watch JavaScript
JavaScript talks you have to see on functional programming
Must-Watch JavaScript is a curated list of high-quality talk videos, tutorials, and presentations about JavaScript — covering a variety of topics such as language features, best practices, frameworks, performance, tooling, and evolving JS ecosystem trends. Rather than being code-heavy, it serves as a learning resource for developers who want to gain conceptual wisdom, stay updated with JavaScript evolution, or learn from experts’ experiences and opinions. For someone who wants to deepen their understanding of JavaScript beyond “just writing code,” this repo offers a guided path through well-chosen content that can expand perspective: on architecture, patterns, pitfalls, performance tradeoffs, and the rationale behind design decisions in JS. ... -
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rLLM
Democratizing Reinforcement Learning for LLMs
rLLM is an open-source framework for building and training post-training language agents via reinforcement learning — that is, using reinforcement signals to fine-tune or adapt language models (LLMs) into customizable agents for real-world tasks. With rLLM, developers can define custom “agents” and “environments,” and then train those agents via reinforcement learning workflows, possibly surpassing what vanilla fine-tuning or supervised learning might provide. The project is designed to... -
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ChromeAppHeroes
Chinese manual for excellent Chrome plug-ins
ChromeAppHeroes appears to be a repository with sample or template Chrome apps/extensions — perhaps intended to help developers learn how to build Chrome applications, quick prototypes, or small utilities. As such, it likely includes boilerplate code, manifest definitions, example UI components, and sample functionality (e.g. browser-action buttons, content scripts, background scripts) to illustrate how to structure a Chrome app. For learners or developers new to Chrome extension/app development, ChromeAppHeroes could serve as a starting kit: instead of starting from scratch, they can clone or fork the repo and immediately begin building features, thereby speeding up development. ... -
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Professional Programming
A collection of learning resources for curious software engineers
Professional Programming is a long-running, curated collection of learning resources aimed at helping software engineers grow into well-rounded professionals. It goes far beyond basic “learn to code” material and covers topics like system design, debugging, testing, performance, security, architecture, and software craftsmanship. The list is organized by themes such as coding, design, operations, communication, and career, making it easy to dive into specific aspects of engineering practice. Each resource is hand-picked by the maintainer, focusing on timeless, high-signal articles, talks, and books rather than trendy or shallow content. ... -
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vJEPA-2
PyTorch code and models for VJEPA2 self-supervised learning from video
...Instead of reconstructing pixels, it predicts the missing high-level embeddings of masked space-time regions using a context encoder and a slowly updated target encoder. This objective encourages the model to learn semantics, motion, and long-range structure without the shortcuts that pixel-level losses can invite. The architecture is designed to scale: spatiotemporal ViT backbones, flexible masking schedules, and efficient sampling let it train on long clips while remaining stable. Trained representations transfer well to downstream tasks such as action recognition, temporal localization, and video retrieval, often with simple linear probes or light fine-tuning. ... -
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Large Concept Model
Language modeling in a sentence representation space
...It organizes training around concepts (rather than just raw labels), encouraging models to understand attributes, relations, and compositional structure that transfer across tasks. The repository provides training loops, data tooling, and evaluation routines to learn and probe these concept embeddings, typically from large image–text or weakly supervised corpora. It includes utilities to build concept vocabularies, map supervision signals to those vocabularies, and measure zero-shot or few-shot generalization. Probing tools help diagnose what the model knows—e.g., attribute recognition, relation understanding, or compositionality—so you can iterate on data and objectives. ...
