Search Results for "deep"
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Showing 55 open source projects for "deep"
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1
tinygrad
Deep learning framework
This may not be the best deep learning framework, but it is a deep learning framework. Due to its extreme simplicity, it aims to be the easiest framework to add new accelerators to, with support for both inference and training. If XLA is CISC, tinygrad is RISC. -
2
Jittor
Jittor is a high-performance deep learning framework
...The front-end language is Python. Module Design and Dynamic Graph Execution is used in the front-end, which is the most popular design for deep learning framework interface. The back-end is implemented by high-performance languages, such as CUDA, C++. Jittor'op is similar to NumPy. Let's try some operations. We create Var a and b via operation jt.float32, and add them. Printing those variables shows they have the same shape and dtype. -
3
tvm
Open deep learning compiler stack for cpu, gpu, etc.
...The vision of the Apache TVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging machine learning models for any hardware platform. Compilation of deep learning models in Keras, MXNet, PyTorch, Tensorflow, CoreML, DarkNet and more. Start using TVM with Python today, build out production stacks using C++, Rust, or Java the next day. -
4
Kubeshark
The API traffic viewer for Kubernetes providing deep visibility
The API traffic viewer for Kubernetes providing deep visibility into all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. Think TCPDump and Wireshark re-invented for Kubernetes. Deep visibility and monitoring of all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. View all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. ... -
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5
Ray
A unified framework for scalable computing
Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. -
6
React Navigation
Routing and navigation for React Native and Web apps
...It provides navigators, screens, linking tools, and navigation state management for building multi-screen applications. Developers can create stack navigation, tab navigation, drawer navigation, nested flows, and deep linking behavior with a consistent API. The library is customizable, extensible, and designed to feel natural on both iOS and Android. It works closely with other React Native ecosystem libraries such as React Native Screens and Gesture Handler. Its main value is giving React Native apps a flexible, production-proven navigation system that can scale from simple apps to complex product flows. -
7
FATE
An industrial grade federated learning framework
...It implements secure computation protocols based on homomorphic encryption and multi-party computation (MPC). Supporting various federated learning scenarios, FATE now provides a host of federated learning algorithms, including logistic regression, tree-based algorithms, deep learning and transfer learning. FATE became open-source in February 2019. FATE TSC was established to lead FATE open-source community, with members from major domestic cloud computing and financial service enterprises. FedAI is a community that helps businesses and organizations build AI models effectively and collaboratively, by using data in accordance with user privacy protection, data security, data confidentiality and government regulations. -
8
Python Outlier Detection
A Python toolbox for scalable outlier detection
PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as outlier detection or anomaly detection. PyOD includes more than 30 detection algorithms, from classical LOF (SIGMOD 2000) to the latest COPOD (ICDM 2020) and SUOD (MLSys 2021). Since 2017, PyOD [AZNL19] has been successfully used in numerous academic researches and commercial products [AZHC+21, AZNHL19]. PyOD has multiple neural... -
9
Telos
Telos is an open-sourced framework for creating Deep Context
...It encourages capturing a “context file” that outlines mission, goals, problems, strategies, KPIs, and other core components of meaningful work. The project emphasises creating deep context about matters that humans care about, making underlying intentions explicit rather than implicit. It is structured so that you can document your purpose, link it to your strategies and metrics, and thereby maintain clarity and alignment over time. Although lightweight in implementation (for example a .md context file), its ambition is philosophical: helping actors live intentionally and track progress toward purpose. ... -
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10
NNCF
Neural Network Compression Framework for enhanced OpenVINO
NNCF (Neural Network Compression Framework) is an optimization toolkit for deep learning models, designed to apply quantization, pruning, and other techniques to improve inference efficiency. -
11
Remult
Full-stack CRUD, simplified, with SSOT TypeScript entities
Remult is a full-stack CRUD framework for building type-safe web applications using a single shared TypeScript model. It automatically exposes backend APIs based on your entities and provides real-time synchronization, role-based access control, and deep integration with front-end frameworks like React, Angular, and Vue. Remult simplifies full-stack development by unifying API and model definitions. -
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NestJS Telegraf
Powerful Nest module for easy and fast creation Telegram bots
...Telegraf is the most powerful library for creating bots and NestJS is a progressive framework for creating well-architectured applications. This module provides fast and easy way for creating Telegram bots and deep integration with your NestJS application. -
13
Go 101
An up-to-date (unofficial) knowledge base for Go programming
...Go Optimizations 101, which provides some code performance optimization tricks, tips, and suggestions. Go Details & Tips 101, which collects many details and provides several tips in Go programming. These books are expected to help gophers gain a deep and thorough understanding of Go and be helpful for both beginner and experienced Go programmers. Some HTML files are generated from their corresponding markdown files. If a markdown file is modified, we can run go run . -gen to synchronize its corresponding HTML file. -
14
Pion WebRTC
Pure Go implementation of the WebRTC API
...Ship to Mobile, Desktop, Servers and WASM all with one code base. We built everything from scratch, come learn from our journey. We have docs not just on Pion, but also deep WebRTC knowledge. Pion is owned by the community, no private bugs or roadmaps. Come join in the development on GitHub and Slack. Pion has multiple large production users already. Come learn from them and be the next! Example applications contains code samples of common things people build with Pion WebRTC. Example-webrtc-applications contains more full featured examples that use 3rd party libraries. -
15
Avalonia
A cross-platform UI framework for .NET
...Avalonia is open source, free to use, and always will be. Clone the source today to dig deeper. The free VS extension provides everything needed to start, including a XAML previewer. JetBrains deep understanding of Avalonia shines through with rich Rider and R# support. Deploy to the platforms you care about with ease. Leverage existing knowledge, code and packages to kickstart your project. Get the support your project needs with one of our commercial support agreements. Help you can count on. JetBrains delivers huge productivity gains for Avalonia developers. -
16
ReDex
A bytecode optimizer for Android apps
...Fewer bytes also means faster download times, faster install times, and lower data usage for cell users. Lastly, less bytecode also typically translates into faster runtime performance. Redex has deep integration with Buck where your Redex config is passed as a parameter to the Buck android_binary rule when generating the APK. -
17
Synthetix
Synthetix Solidity smart contracts
...Synthetic assets, or Synths, are assets voted into existence by the community and can come in the form of fiat currencies, cryptocurrencies, stocks, commodities and anything else with a price. Many platforms already leverage the deep liquidity and composability of Synthetix to deliver better trades with lower slippage, hedging, and other unique use cases. -
18
Sparkle 2
A software update framework for macOS
...Sparkle also supports authentication for installing in secure locations. Support for sandboxing is currently under development. Requires no code in your app, but also provides deep delegate support for maximum customization. Developers can make Sparkle work exactly as they need, and users can make Sparkle work as they prefer. Your own branding, icons and app name are used - there's no mention of Sparkle. Works with any macOS app, whether it uses Cocoa, Qt, Xamarin, or otherwise. -
19
goldmark
A markdown parser written in Go. Easy to extend, standard, compliant
...Easy to extend, standard(CommonMark) compliant, well structured.golang-commonmark may be a good choice, but it seems to be a copy of markdown-it. blackfriday.v2 is a fast and widely-used implementation, but is not CommonMark-compliant and cannot be extended from outside of the package, since its AST uses structs instead of interfaces. Furthermore, its behavior differs from other implementations in some cases, especially regarding lists: Deep nested lists don't output correctly #329, List block cannot have a second line #244, etc. This behavior sometimes causes problems. If you migrate your Markdown text from GitHub to blackfriday-based wikis, many lists will immediately be broken. As mentioned above, CommonMark is complicated and hard to implement, so Markdown parsers based on CommonMark are few and far between. -
20
Buffalo
Rapid Web Development w/ Go
...Use the Webpack-generated configuration to build your frontend assets, so you can optimize both the backend and frontend. Code, save, refresh. Use the buffalo dev command to rebuild your app, from backend to frontend, and just see the changes live! Deep integration with pop provides a simple way to handle databases and common-related tasks. Supported databases: MySQL/MariaDB, PostgreSQL, CockroachDB, SQLite. -
21
Pastel
Next.js-like framework for CLIs made with Ink
Pastel is a framework for building rich command-line applications using React (via Ink), offering a Next.js-like developer experience for CLIs. Instead of wiring up argument parsers, help output, and subcommands manually, you structure your CLI as a file-based command tree and focus on writing components that render the interface. Pastel parses and validates command options using Zod schemas, giving you typed, declarative option definitions that also power automatic help messages. It wraps... -
22
MegEngine
Easy-to-use deep learning framework with 3 key features
MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR algorithm. ... -
23
OneFlow
OneFlow is a deep learning framework designed to be user-friendly
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. An extension for OneFlow to target third-party compiler, such as XLA, TensorRT and OpenVINO etc.CUDA runtime is statically linked into OneFlow. OneFlow will work on a minimum supported driver, and any driver beyond. For more information. Distributed performance (efficiency) is the core technical difficulty of the deep learning framework. -
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Polyglot Formatter
Multi-language code formatter with automatic language detection
Polyglot Formatter is a lightweight browser-based code beautifier that automatically detects and formats HTML, CSS, JavaScript, PHP, and JSON. Designed for developers, it provides instant code cleanup and readability improvements without requiring a server, build process, or account. Everything runs locally in the browser for maximum privacy and convenience. The formatter supports mixed-language files, nested code blocks, configurable indentation, line wrapping, syntax highlighting, and... -
25
decimal
Arbitrary-precision fixed-point decimal numbers in go
...This makes sense for its use-case, but the trade-off is that the API is awkward and easy to misuse. In contrast, it's difficult to make such mistakes with decimal. Decimals behave like other go numbers types: even though a = b will not deep copy b into a, it is impossible to modify a Decimal, since all Decimal methods return new Decimals and do not modify the originals. The downside is that this causes extra allocations, so Decimal is less performant.
