Search Results for "q-chem"
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Showing 501 open source projects for "q-chem"
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CUDA-Q
C++ and Python support for the CUDA Quantum programming model
CUDA-Q is an open-source platform for developing hybrid quantum-classical applications using a unified programming model across CPUs, GPUs, and quantum processing units. It provides a full toolchain that includes compilers, runtimes, and libraries for writing quantum programs in both C++ and Python. The platform is designed to be hardware-agnostic, allowing developers to run applications on different quantum backends or simulate them efficiently using GPU acceleration when physical quantum hardware is unavailable. ... -
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q Go
Quick and dirty debugging output for tired Go programmers
...Easier to see inside structs, doesn't go to noisy-ass stdout. It goes to $TMPDIR/q. q Go offers pretty colors! -
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Chem-Parser
Molecule Sketcher and Immediate Parser to Excel, .SMI and 3D SDF
...By enabling rapid structure-to-data mapping, Chem-Parser significantly reduces manual effort in dataset preparation, ensuring consistency and accuracy across large compound libraries. Whether you're building predictive models or managing compound repositories, Chem-Parser offers a user-friendly interface and high-throughput parsing capability that makes it an indispensable addition to any researcher's toolkit. -
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Q-CTRL Open Controls
Q-CTRL Open Controls
Q-CTRL Open Controls is an open-source Python package that makes it easy to create and deploy established error-robust quantum control protocols from the open literature. The aim of the package is to be the most comprehensive library of published and tested quantum control techniques developed by the community, with easy-to-use export functions allowing users to deploy these controls on. -
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Amazon Q Developer CLI
Chat experience in your terminal
Amazon Q Developer CLI brings an agentic, chat-driven coding assistant to your terminal so you can ask for help, generate code, and perform routine dev tasks with natural language. It blends knowledge of your local workspace with command-line context to suggest commands, explain flags, and scaffold files or workflows. The tool aims to shorten the gap between intent and action by letting you request operations like creating a test, refactoring a function, or drafting a Dockerfile without leaving the shell. ... -
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CUDA-QX
Accelerated libraries for quantum-classical computing built on CUDA-Q
CUDA-QX is a collection of accelerated libraries built on top of the CUDA-Q platform, designed to enable rapid development of hybrid quantum-classical applications. It extends the CUDA-Q programming model by providing optimized implementations of domain-specific quantum computing primitives and workflows. The libraries are intended to help researchers and developers leverage GPUs, CPUs, and quantum processing units together in a unified computational model. -
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Q-Dir
Q-Dir is a manager with a customizable four-panel interface
Q-Dir (Quad-Directory-Explorer) is a free and compact file manager for Windows developed by Nenad Hrg. It offers a unique four-pane interface that allows you to manage multiple folders at the same time, which greatly simplifies file management and increases productivity. -
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Azure Quantum Development Kit
Azure Quantum Development Kit
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas. The playground is a small website that loads the Q# editor, compiler, samples, katas, and documentation for the standard library. It's a way to manually validate any changes you make to these components. The easiest way to develop in this repo is to use VS Code. When you open the project root, by default VS Code will recommend you install the extensions listed in .vscode/extensions.json. ... -
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Adapters
A Unified Library for Parameter-Efficient Learning
...Adapters provide a unified interface for efficient fine-tuning and modular transfer learning, supporting a myriad of features like full-precision or quantized training (e.g. Q-LoRA, Q-Bottleneck Adapters, or Q-PrefixTuning), adapter merging via task arithmetics or the composition of multiple adapters via composition blocks, allowing advanced research in parameter-efficient transfer learning for NLP tasks. -
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Python Interview Bible
Curated set of interview notes, Q&A, and code snippets
Python-Interview-Bible is a curated set of interview notes, Q&A, and code snippets aimed at helping candidates prepare efficiently for Python roles. It organizes content by topic—language essentials, data structures, algorithms, concurrency, networking, and databases—so you can target weak areas quickly. The repository emphasizes clear explanations and compact examples that demonstrate correct usage and common pitfalls. -
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Karabiner-Elements
Powerful utility for keyboard customization
Karabiner-Elements is a powerful key remapper for macOS. -
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Android Interview Questions
Your Cheat Sheet For Android Interview
This repository is a comprehensive study guide for Android interviews, organized to cover the platform from fundamentals to advanced topics. It includes explanations and Q&A on the Android app lifecycle, activities and fragments, services, broadcast receivers, content providers, and the build system. Modern practices are addressed as well—Kotlin language features, coroutines, Jetpack components, MVVM/MVI architecture, dependency injection, and testing strategies. Performance and reliability topics receive attention, such as memory management, threading, WorkManager, networking, and offline storage patterns. ... -
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RL with PyTorch
Clean, Robust, and Unified PyTorch implementation
...The project focuses on helping developers and researchers understand reinforcement learning methods by providing clean and reproducible implementations of well-known algorithms. It includes code for popular deep reinforcement learning techniques such as Deep Q-Networks, policy gradient methods, actor-critic architectures, and other modern RL approaches. The repository is structured so that users can easily experiment with different algorithms and training environments. Many examples demonstrate how agents learn to interact with simulated environments through trial and error using reinforcement learning principles. ... -
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WikiChat
WikiChat is an improved RAG
WikiChat is a chatbot framework designed to interactively retrieve and summarize Wikipedia information, allowing users to ask questions and get context-aware responses? -
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PDFRip
A multi-threaded PDF password cracking utility
A multi-threaded PDF password cracking utility equipped with commonly encountered password format builders and dictionary attacks. pdfrip is a fast multithreaded PDF password cracking utility written in Rust with support for wordlist-based dictionary attacks, date and number range bruteforcing, and a custom query builder for password formats. You can write your own queries like STRING{69-420} with the -q option which would generate a wordlist with the full number range. You can pass in an year as the input with the -d option which would bruteforce all 365 days of the year in DDMMYYYY format which is a pretty commonly used password format for PDFs. Just give a number range like 5000-100000 with the -n option and it would bruteforce with the whole range. -
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EduCDM
The Model Zoo of cognitive diagnosis models
...Cognitive diagnosis model (CDM) for intelligent educational systems is a type of model that infers students' knowledge states from their learning behaviors (especially exercise response logs). Typically, the input of a CDM could be the students' response logs of items (i.e., exercises/questions), the Q-matrix that denotes the correlation between items and knowledge concepts (skills). The output is the diagnosed student knowledge states, such as students' abilities and students' proficiencies on each knowledge concepts. -
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Misago
Misago is fully featured modern forum application
...Site admins may require users to confirm validity of their e-mail addresses via e-mail sent activation link, or limit user account activation to administrator action. They can use custom Q&A challenge, ReCAPTCHA, Stop Forum Spam or IP's blacklist to combat spam registrations. Pletora of settings are available to control user account behavior, like username lengths or avatar restrictions. Presence features let site members know when other users are online, offline or banned. Individual users have setting to hide their activity from non-admins. -
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Raglite
RAGLite is a Python toolkit for Retrieval-Augmented Generation
Raglite is a lightweight framework for building Retrieval-Augmented Generation (RAG) pipelines with minimal configuration. It connects large language models to vector databases for context-aware responses, enabling developers to prototype and deploy RAG systems quickly. Raglite focuses on simplicity and modularity for fast experimentation. -
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Digoal Blog
Opensource, Database, AI, Business
Digoal Blog is a comprehensive collection of articles, tutorials, and resources focused on open-source databases, particularly PostgreSQL. Maintained by Digoal Zhou, the blog covers a wide range of topics including database optimization, architecture, and best practices, serving as a valuable resource for database administrators and developers. -
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Kuroba Experimental
Free and open source image board browser
KurobaEx is a fast Android app for browsing imageboards, such as 4chan and 8chan. It's a fork of Kuroba. Ability to attach multiple media files to reply, attach media files that were shared by external apps (even by some keyboards), attach remote media files by URL, etc. New image downloader. Allows downloading images while the app is in the background, retrying failed to download images, resolving duplicates, etc. -
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hey
HTTP load generator, ApacheBench (ab) replacement
hey is a tiny program that sends some load to a web application. hey was originally called boom and was influenced from Tarek Ziade's tool at tarekziade/boom. Using the same name was a mistake as it resulted in cases where binary name conflicts created confusion. To preserve the name for its original owner, we renamed this project to hey. hey runs provided number of requests in the provided concurrency level and prints stats. It also supports HTTP2 endpoints. It’s simple, efficient,... -
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Qwen
The official repo of Qwen chat & pretrained large language model
Qwen is a series of large language models developed by Alibaba Cloud, consisting of various pretrained versions like Qwen-1.8B, Qwen-7B, Qwen-14B, and Qwen-72B. These models, which range from smaller to larger configurations, are designed for a wide range of natural language processing tasks. They are openly available for research and commercial use, with Qwen's code and model weights shared on GitHub. Qwen's capabilities include text generation, comprehension, and conversation, making it a... -
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Fig Autocomplete
IDE-style autocomplete for your existing terminal & shell
Fig Autocomplete is a tool that brings IDE‑style autocomplete to your existing terminal and shell, providing context‑aware suggestions, subcommand options, arguments, descriptions, and themes to enhance your command‐line experience. Amazon Q for command line uses the Accessibility API on Mac to position the window, and integrates with your shell to read what you've typed. Edit your spec in TypeScript in the src/ folder. In dev mode, specs are read from the build folder, and generators run every keystroke. On save, specs are compiled to the build/ folder. -
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Reor Project
Private & local AI personal knowledge management app
Reor is an AI-powered desktop note-taking app: it automatically links related notes, answers questions on your notes, provides semantic search and can generate AI flashcards. Everything is stored locally and you can edit your notes with an Obsidian-like markdown editor. The hypothesis of the project is that AI tools for thought should run models locally by default. Reor stands on the shoulders of the giants Ollama, Transformers.js & LanceDB to enable both LLMs and embedding models to run locally. -
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Telegram Search
AI-powered Telegram chat backup and semantic search tool system
Telegram Search is a self-hosted tool designed to export, back up, and intelligently search Telegram chat histories using modern AI techniques. It addresses the limitations of Telegram’s native search by enabling accurate retrieval of messages across languages through advanced tokenization and semantic understanding. Telegram Search processes chat data into searchable formats, including vector embeddings, which allow users to perform fuzzy and meaning-based searches instead of relying solely...
