Search Results for "deep" - Page 3
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Showing 150 open source projects for "deep"
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XNNPACK
High-efficiency floating-point neural network inference operators
XNNPACK is a highly optimized, low-level neural network inference library developed by Google for accelerating deep learning workloads across a variety of hardware architectures, including ARM, x86, WebAssembly, and RISC-V. Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch Mobile, ONNX Runtime, TensorFlow.js, and MediaPipe. ... -
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Awesome English Ebooks
Curated list of freely available English-language magazine issues
awesome-english-ebooks is a curated list that collects high-quality, English-language ebooks across programming, computer science, mathematics, and related technical domains. The repository organizes links by topic and technology so learners can quickly find foundational texts, deep dives, and practical handbooks relevant to their goals. Entries often include notes about edition, format, or prerequisite knowledge, helping readers gauge where a book fits in a learning path. Because it lives in Git, the list benefits from community maintenance: contributors add new titles, replace dead links, and refine categories as the ecosystem shifts. ... -
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libsodium.js
libsodium compiled to Webassembly and pure JavaScript
...It exposes a comprehensive set of APIs for encryption, decryption, hashing, digital signatures, and key exchange, all designed to be safe and easy to use without requiring deep cryptographic expertise. The library leverages WebAssembly for improved performance, enabling near-native execution speeds within browsers and JavaScript runtimes. It is designed to prevent common cryptographic mistakes by offering secure defaults and abstractions that reduce the risk of misuse. libsodium.js is particularly useful for building secure web applications, messaging systems, and privacy-focused tools that require client-side encryption. ... -
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ArgoSBX
Xiaobai built his own agent artifact
...One of its defining features is the ability to integrate CDN-based routing and WARP combinations, offering numerous configuration permutations to optimize performance and bypass restrictions. The script is built for minimal interaction, allowing users to deploy complex setups with a single command while still retaining deep customization options. -
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Karpathy-Inspired Claude Code Guidelines
A single CLAUDE.md file to improve Claude Code behavior
Karpathy-Inspired Claude Code Guidelines is a curated learning and experimentation repository inspired by the work and teaching philosophy of Andrej Karpathy, designed to help learners build practical competence in deep learning, neural networks, and AI infrastructure. The project organizes a progressive path through exercises, notebooks, code examples, and practical mini-projects that echo Karpathy’s approach to “learning by doing,” where students build core concepts from first principles rather than consuming superficial abstractions. It covers topics like implementing backpropagation from scratch, understanding convolutional and recurrent networks, building simple training loops, and exploring real datasets with hands-on code. ... -
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zshy
Bundler-free build tool for TypeScript libraries
...Instead of relying on bundlers like Webpack or tsup, zshy leverages the TypeScript compiler (tsc) itself to produce both ESM and CommonJS builds, generate type declarations, and automatically populate "exports" fields in a package’s package.json. It reads configuration directly from package.json and standard TypeScript config files, doesn’t require its own config, and supports multi-entry libraries with deep wildcard exports. Originally created for building popular libraries such as Zod, zshy fills the niche for a straightforward, convention-over-configuration build pipeline for TypeScript packages. The tool copies non-JS assets, supports .tsx, and makes CLI packaging easy, helping maintain consistent library outputs with minimal boilerplate. -
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
Anomalib is an open-source deep learning library focused on anomaly detection and localization tasks, collecting state-of-the-art algorithms and tools under one modular framework. It provides implementations of leading anomaly detection methods drawn from current research, as well as a full set of utilities for training, evaluating, benchmarking, and deploying these models on both public and private datasets. -
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Arrow
Functional companion to Kotlin's Standard Library
Arrow Core includes types such as Either, Validated and many extensions to Iterable that can be used when implementing error handling patterns. Core also includes the base continuation effects system, which includes patterns to remove callbacks and enables controlled effects in direct syntax. Some applications of the effect system reduce boilerplate and enable direct syntax including monad comprehensions and computation expressions. Arrow Fx is a next-generation Typed FP Effects Library that... -
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Infosec Reference
An Information Security Reference That Doesn't Suck
Infosec Reference is a curated knowledge base and resource repository for information security practitioners. It aggregates cheat sheets, tooling guides, protocol deep dives, incident response playbooks, and threat actor profiles—all organized under accessible categories (network, web, host, cryptography, auditing). The repo is built as a living wiki of sorts: practitioners contribute updates, expand sections, or refine explanations as the threat landscape evolves. Because security spans many domains, Infosec Reference helps consolidate high-value, battle-tested knowledge into one place, reducing the need to scour scattered blogs or notes. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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type-fest
A collection of essential TypeScript types
type-fest is a TypeScript utility types library that offers a curated, battle-tested suite of type definitions and type transformations that aren’t included in the TypeScript standard library. It provides types like Except, Merge, LiteralUnion, Writable, Promisable, PartialDeep, JsonObject, and many others that solve everyday typing needs in complex TypeScript codebases. Developers pull in just the types they need, which makes code more expressive and safer without reinventing tricky type... -
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Scalaz
Principled Functional Programming in Scala
...Scalaz also contributes optics, equality/ordering abstractions, and lawful instances with property-based tests to ensure algebraic laws hold. While the Scala ecosystem now includes sibling projects, Scalaz remains a deep toolbox for principled FP in Scala and a reference point for category-theory-inspired design on the JVM. -
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MASA Blazor
Blazor UI component library based on Material Design
Provide a standard basic component library based on Material design specifications. Provides preset components for standard scenarios such as layout, frame standard, Loading, and global exception handling. Starting from more practical scenarios, to meet the needs of more users and scenarios, and to minimize the time cost of developers. Shorten the development cycle and improve development efficiency. And provide a set of examples of Web solutions - MASA Blazor Pro has a variety of common... -
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DeepXDE
A library for scientific machine learning & physics-informed learning
DeepXDE is a library for scientific machine learning and physics-informed learning. DeepXDE includes the following algorithms. Physics-informed neural network (PINN). Solving different problems. Solving forward/inverse ordinary/partial differential equations (ODEs/PDEs) [SIAM Rev.] Solving forward/inverse integro-differential equations (IDEs) [SIAM Rev.] fPINN: solving forward/inverse fractional PDEs (fPDEs) [SIAM J. Sci. Comput.] NN-arbitrary polynomial chaos (NN-aPC): solving... -
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Kornia
Open Source Differentiable Computer Vision Library
...Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. With Kornia we fill the gap between classical and deep computer vision that implements standard and advanced vision algorithms for AI. Our libraries and initiatives are always according to the community needs. -
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AudioCraft
Audiocraft is a library for audio processing and generation
AudioCraft is a PyTorch library for text-to-audio and text-to-music generation, packaging research models and tooling for training and inference. It includes MusicGen for music generation conditioned on text (and optionally melody) and AudioGen for text-conditioned sound effects and environmental audio. Both models operate over discrete audio tokens produced by a neural codec (EnCodec), which acts like a tokenizer for waveforms and enables efficient sequence modeling. The repo provides... -
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paraffin
Iterative and recursive parallelism generics for Ada 2005 and Ada 2012
A suite of Ada 2012 generics to facilitate iterative and recursive parallelism for multicore systems and provide safer recursion for single and multicore systems. Generics include Ravenscar compatible versions for real-time systems. Also Includes paraffinalia, which is a set of useful generics for parallel quicksort, fast fourier transform, function integration, prefix sum, and Red-Black trees -
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Calimero
Take full control of your Windows Desktop background!
Calimero is a lightweight, high-performance, old-school Win32 console application designed to enhance your Windows desktop in the simplest and most unobtrusive way. Main core features of Calimero are managing and displaying local images as desktop wallpaper and fetching/downloading pictures from the Internet, from sites like Picsum, Pexels, Reddit, and Danbooru. -
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MMDeploy
OpenMMLab Model Deployment Framework
MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. -
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fastMRI
A large open dataset + tools to speed up MRI scans using ML
fastMRI is a large-scale collaborative research project by Facebook AI Research (FAIR) and NYU Langone Health that explores how deep learning can accelerate magnetic resonance imaging (MRI) acquisition without compromising image quality. By enabling reconstruction of high-fidelity MR images from significantly fewer measurements, fastMRI aims to make MRI scanning faster, cheaper, and more accessible in clinical settings. The repository provides an open-source PyTorch framework with data loaders, subsampling utilities, reconstruction models, and evaluation metrics, supporting both research reproducibility and practical experimentation. ... -
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DeepMind Research
Implementations and code to accompany DeepMind publications
This repository collects reference implementations and illustrative code accompanying a wide range of DeepMind publications, making it easier for the research community to reproduce results, inspect algorithms, and build on prior work. The top level organizes many paper-specific directories across domains such as deep reinforcement learning, self-supervised vision, generative modeling, scientific ML, and program synthesis—for example BYOL, Perceiver/Perceiver IO, Enformer for genomics, MeshGraphNets for physics, RL Unplugged, Nowcasting for weather, and more. Each project folder typically includes its own README, scripts, and notebooks so you can run experiments or explore models in isolation, and many link to associated datasets or external environments like DeepMind Lab and StarCraft II. ... -
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. -
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Index Advisor
PostgreSQL Index Advisor
index_advisor is a PostgreSQL extension developed by Supabase that suggests index optimizations based on query performance. It passively monitors query patterns and recommends indexes to improve performance without requiring deep database expertise. This tool helps developers and DBAs reduce query latency and improve efficiency in production environments. -
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XCoordinator
Powerful navigation library for iOS based on the coordinator pattern
Powerful navigation library for iOS based on the coordinator pattern. Create an enum with all of the navigation paths for a particular flow, i.e. a group of closely connected scenes. (It is up to you when to create a Route/Coordinator. As our rule of thumb, create a new Route/Coordinator whenever a new root view controller, e.g. a new navigation controller or a tab bar controller, is needed.). Whereas the Route describes which routes can be triggered in a flow, the Coordinator is responsible... -
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Scalable-Software-Architecture
Collection of tech talks, papers and web links on Distributed Systems
Scalable-Software-Architecture gathers tech talks, academic papers, blog posts and web links related to building scalable software architecture, distributed systems, system design, and production-scale considerations. The aim is to help readers study how large systems operate: how to scale them, how to handle latency, failure, load, concurrency, and how to structure software for maintainability at scale. Because many interview and real-world engineering problems revolve around system design... -
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Neural Network Visualization
Project for processing neural networks and rendering to gain insights
nn_vis is a minimalist visualization tool for neural networks written in Python using OpenGL and Pygame. It provides an interactive, graphical representation of how data flows through neural network layers, offering a unique educational experience for those new to deep learning or looking to explain it visually. By animating input, weights, activations, and outputs, the tool demystifies neural network operations and helps users intuitively grasp complex concepts. Its lightweight codebase is great for customization and teaching purposes.
