Showing 705 open source projects for "pass"

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  • 1
    Reflexion

    Reflexion

    Reflexion: Language Agents with Verbal Reinforcement Learning

    Reflexion is a research-oriented AI framework that focuses on improving the reasoning and problem-solving capabilities of language model agents through iterative self-reflection and feedback loops. Instead of relying solely on a single-pass response, Reflexion enables agents to evaluate their own outputs, identify errors, and refine their reasoning over multiple iterations, leading to more accurate and reliable results. The framework introduces a mechanism where agents maintain a memory of past attempts and use that memory to guide future decisions, effectively simulating a learning process without requiring traditional model retraining. ...
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  • 2
    CUDA Agent

    CUDA Agent

    Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

    ...The system operates in a ReAct-style loop where the agent profiles baseline implementations, writes CUDA code, compiles it in a sandbox, and iteratively refines performance. CUDA-Agent has demonstrated strong benchmark results, achieving high pass rates and significant speedups compared with compiler baselines such as torch.compile.
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  • 3
    ANE Training

    ANE Training

    Training neural networks on Apple Neural Engine via APIs

    ANE Training is an experimental research project that demonstrates how to train neural networks directly on Apple’s Neural Engine by leveraging reverse-engineered private APIs that are normally inaccessible to developers. The repository implements a from-scratch transformer training pipeline capable of running both forward and backward passes on ANE hardware without relying on CoreML, Metal, or GPU acceleration. It explores the internal software stack of the Apple Neural Engine by...
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  • 4
    Poison

    Poison

    An incredibly fast, pure Elixir JSON library

    Poison is a fast and lightweight JSON library for Elixir focused on performance and idiomatic APIs. It provides straightforward encode and decode functions, along with a protocol-based encoder that lets you customize how your structs become JSON. Developers can derive or implement Poison.Encoder for domain types, control which fields are included, and map complex values into JSON-friendly forms. On the decoding side, it supports options for key handling and flexible parsing of JSON into...
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  • 5
    Roots.jl

    Roots.jl

    Root finding functions for Julia

    ...The basic call is find_zero(f, x0, [M], [p]; kws...) where, typically, f is a function, x0 a starting point or bracketing interval, M is used to adjust the default algorithms used, and p can be used to pass in parameters. Bisection-like algorithms. For functions where a bracketing interval is known (one where f(a) and f(b) have alternate signs), a bracketing method, like Bisection, can be specified. The default is Bisection, for most floating point number types, employed in a manner exploiting floating point storage conventions. For other number types (e.g. ...
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  • 6
    TanStack Query

    TanStack Query

    Powerful asynchronous state management, server-state utilities

    ...If you know how to work with promises or async/await, then you already know how to use TanStack Query. There's no global state to manage, reducers, normalization systems or heavy configurations to understand. Simply pass a function that resolves your data (or throws an error) and the rest is history. TanStack Query is configurable down to each observer instance of a query with knobs and options to fit every use-case. It comes wired up with dedicated devtools, infinite-loading APIs, etc.
    Downloads: 1 This Week
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  • 7
    Tonic

    Tonic

    Easy to audit, zero-dependencies and build-tool-free

    ...So your class name should be CamelCased (starting with an uppercase letter). Tonic has no templating language, it uses HTML! But since HTML only understands string values, we need some help to pass more complex values to a component, for that we use this.html. There is no evidence that Virtual DOMs improve performance across a broad set of use cases, but it's certain that they greatly increase complexity. Tonic doesn't use them. Instead, we recommend incremental updates.
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  • 8
    wagmi

    wagmi

    React Hooks for Ethereum

    wagmi is a collection of React Hooks containing everything you need to start working with Ethereum. wagmi makes it easy to "Connect Wallet," display ENS and balance information, sign messages, interact with contracts, and much more, all with caching, request deduplication, and persistence. We create a wagmi Client and pass it to the WagmiConfig React Context. The client is set up to use the ethers Default Provider and automatically connect to previously connected wallets. Next, we use the useConnect hook to connect an injected wallet (e.g. MetaMask) to the app. Finally, we show the connected account's address with useAccount and allow them to disconnect with useDisconnect. ...
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  • 9
    Audiomentations

    Audiomentations

    A Python library for audio data augmentation

    A Python library for audio data augmentation. Inspired by albumentations. Useful for deep learning. Runs on CPU. Supports mono audio and multichannel audio. Can be integrated in training pipelines in e.g. Tensorflow/Keras or Pytorch. Has helped people get world-class results in Kaggle competitions. Is used by companies making next-generation audio products. Mix in another sound, e.g. a background noise. Useful if your original sound is clean and you want to simulate an environment where...
    Downloads: 1 This Week
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    MongoDB Atlas runs apps anywhere

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  • 10
    tika-python

    tika-python

    Python binding to the Apache Tika™ REST services

    A Python port of the Apache Tika library that makes Tika available using the Tika REST Server. This makes Apache Tika available as a Python library, installable via Setuptools, Pip and easy to install. To use this library, you need to have Java 7+ installed on your system as tika-python starts up the Tika REST server in the background. To get this working in a disconnected environment, download a tika server file (both tika-server.jar and tika-server.jar.md5, which can be found here) and set...
    Downloads: 1 This Week
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  • 11
    LLM TLDR

    LLM TLDR

    95% token savings. 155x faster queries. 16 languages

    LLM TLDR is a tool that leverages large language models (LLMs) to generate concise, coherent summaries (TL;DRs) of long documents, articles, or text files, helping users quickly understand large amounts of content without reading every word. It integrates with LLM APIs to handle input texts of varying lengths and complexity, applying techniques like chunking, context management, and multi-pass summarization to preserve accuracy even when the source is very large. The system supports both extractive and abstractive summarization styles so that users can choose whether they want condensed highlights or a more narrative paraphrase of key ideas. To enhance usability, LLM-TLDR includes command-line tools and integration examples for common workflows like batch summarization, webhook ingestion, and automation in documentation pipelines.
    Downloads: 0 This Week
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  • 12
    Proton Web Clients

    Proton Web Clients

    Monorepo hosting the proton web clients

    Proton Web Clients is a monorepo hosting the web applications for Proton’s suite of privacy-focused services, including the core Proton Mail webmail interface and related web apps like Proton Calendar, Proton Drive, Proton Account, Proton VPN, Proton Pass, and other connected tools. It consolidates all web client code, shared modules, dependencies, and development tooling into a single repository, enabling unified maintenance, consistency of design patterns, and efficient evolution of Proton’s online interfaces. These web clients run entirely in the browser, letting users securely interact with their email, calendars, files, and other services without needing native software installed, and benefiting from end-to-end encryption where applicable. ...
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  • 13
    react-fullpage

    react-fullpage

    Official React.js wrapper for fullPage.js

    react-fullpage is the official React wrapper for fullPage.js, providing a component that brings full-screen, section-by-section scrolling layouts into React applications. The wrapper uses a render-prop API, where you pass a render function that receives component state and the fullpageApi, allowing you to build React JSX markup while delegating scroll behavior to fullPage.js under the hood. It is distributed in multiple formats, including a standard ES module and a UMD bundle, so it can be used in projects with or without a modern build step. The library supports server-side rendering scenarios (such as Next.js and Gatsby) by returning a static version when window is not available and then hydrating into the “live” interactive version on the client. ...
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  • 14
    react-highlight-words

    react-highlight-words

    React component to highlight words within a larger body of text

    react-highlight-words renders text with specified substrings highlighted, useful for search results, find-in-page UIs, and autocomplete menus. You pass a string (or node tree) and an array of search terms, and the component splits content into matched and unmatched chunks with minimal overhead. It supports case-sensitive or insensitive matching and optional auto-escaping so user-entered queries won’t be treated as regex. For advanced scenarios, you can provide a custom findChunks function to control tokenization (e.g., word boundaries or diacritics-aware behavior). ...
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  • 15
    vim-autoformat

    vim-autoformat

    Provide code formatting in Vim by integrating existing code formatters

    vim-autoformat is a universal “format this buffer” interface for Vim and Neovim that routes your file through the right external formatter with a single command. Instead of remembering dozens of tool names and CLI flags, you call one mapping and the plugin picks an appropriate backend based on filetype and configuration. It supports a wide range of formatters—such as Black, isort, yapf, Prettier, clang-format, gofmt, rustfmt, shfmt, and many more—while letting you override arguments per...
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  • 16
    RE2/J

    RE2/J

    linear time regular expression matching in Java

    ...Unlike traditional regex engines such as Java’s java.util.regex, PCRE, or Perl’s implementation—which rely on backtracking and can suffer from catastrophic exponential runtimes—RE2/J guarantees linear-time matching relative to input size. It achieves this efficiency by simulating all possible matches in a single pass using a nondeterministic finite automaton (NFA), ensuring predictable and safe performance even with complex patterns. This makes RE2/J ideal for applications that must handle user-supplied regular expressions securely without the risk of denial-of-service through regex backtracking. While it omits some advanced features like backreferences and certain Java regex options, it supports the vast majority of practical expressions used in production code. ...
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  • 17
    terraform-docs

    terraform-docs

    Generate documentation from Terraform modules in various formats

    ...One of the most popular format is markdown table, which is a very good fit for generating README of module. terraform-docs is available on Linux, macOS, Windows, and FreeBSD platforms. terraform-docs will locate any available configuration file without needing to explicitly pass the --config flag.
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  • 18
    Kysely

    Kysely

    A type-safe typescript SQL query builder

    Kysely (pronounce “Key-Seh-Lee”) is a type-safe and autocompletion-friendly typescript SQL query builder. Inspired by knex. Mainly developed for node.js but also runs on deno and in the browser. Kysely makes sure you only refer to tables and columns that are visible to the part of the query you're writing. The result type only has the selected columns with correct types and aliases. As an added bonus you get autocompletion for all that stuff. As shown in the gif above, through the pure magic...
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  • 19
    alpha_vantage

    alpha_vantage

    A python wrapper for Alpha Vantage API for financial data.

    ...Your API key may also be stored in the environment variable ALPHAVANTAGE_API_KEY. The library supports giving its results as json dictionaries (default), pandas dataframe (if installed) or csv, simply pass the parameter output_format='pandas' to change the format of the output for all the API calls in the given class.
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  • 20
    pageres

    pageres

    Capture website screenshots

    ...You can also apply custom CSS to the webpage, and specify some CSS or the path to a CSS file. Or apply custom JavaScript to the webpage. You can set background color to transparent instead of white if no background is set. You can also pass in the w3counter keyword to use the ten most popular resolutions from w3counter.
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  • 21
    HunyuanOCR

    HunyuanOCR

    OCR expert VLM powered by Hunyuan's native multimodal architecture

    HunyuanOCR is an open-source, end-to-end OCR (optical character recognition) Vision-Language Model (VLM) developed by Tencent‑Hunyuan. It’s designed to unify the entire OCR pipeline, detection, recognition, layout parsing, information extraction, translation, and even subtitle or structured output generation, into a single model inference instead of a cascade of separate tools. Despite being fairly lightweight (about 1 billion parameters), it delivers state-of-the-art performance across a...
    Downloads: 1 This Week
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  • 22
    Lightweight' GAN

    Lightweight' GAN

    Implementation of 'lightweight' GAN, proposed in ICLR 2021

    ...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 they pass into a neural network (if you use augmentation). The general recommendation is to use suitable augs for your data and as many as possible, then after some time of training disable the most destructive (for image) augs. You can turn on automatic mixed precision with one flag --amp. You should expect it to be 33% faster and save up to 40% memory. ...
    Downloads: 1 This Week
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  • 23
    systemd

    systemd

    The systemd system and service manager

    systemd is a suite of basic building blocks for a Linux system. It provides a system and service manager that runs as PID 1 and starts the rest of the system. systemd provides aggressive parallelization capabilities, uses socket and D-Bus activation for starting services, offers on-demand starting of daemons, keeps track of processes using Linux control groups, maintains mount and automount points, and implements an elaborate transactional dependency-based service control logic. systemd...
    Downloads: 1 This Week
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  • 24
    Koila

    Koila

    Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code

    ...The library introduces a lazy evaluation mechanism that delays computation until it is actually required, allowing the framework to better estimate the memory requirements of a model before execution. By building a computational graph first and executing operations only when necessary, koila reduces the risk of running out of GPU memory during the forward pass of neural network training. This approach enables developers to experiment with larger batch sizes and more complex architectures while maintaining stable training behavior. The system acts as a thin wrapper around PyTorch tensors and operations, meaning that it integrates easily into existing PyTorch code without requiring major changes to model implementations. ...
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  • 25
    promptmap2

    promptmap2

    A security scanner for custom LLM applications

    promptmap is an automated security scanner for custom LLM applications that focuses on prompt injection and related attack classes. The project supports both white-box and black-box testing, which means it can either run tests directly against a known model and system prompt configuration or attack an external HTTP endpoint without internal access. Its scanning workflow uses a dual-LLM architecture in which one model acts as the target being tested and another acts as a controller that...
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