Search Results for "use" - Page 49
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Showing 3219 open source projects for "use"
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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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Django friendly finite state machine
Django friendly finite state machine support
...FSM is most effective when you use it for some sequential steps. Transition logging support could be achieved with help of django-fsm-log package. -
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Fondant
Production-ready data processing made easy and shareable
...Fondant is designed with reproducibility in mind and supports containerized steps using Docker, making it easy to share and reuse data processing components. It’s built for use in research and production, empowering data scientists to streamline dataset curation and preprocessing workflows efficiently. -
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spider_collection
Collection of Python web scraping scripts for data extraction tasks
spider_collection is a collection of Python web crawler scripts created primarily for experimentation, learning, and practical scraping tasks. spider_collection gathers multiple independent spiders designed to collect data from different platforms and services, demonstrating a variety of scraping techniques and workflows. These crawlers make use of common Python scraping tools such as requests, parsel, BeautifulSoup, and the Scrapy framework to extract structured information from web pages. Several scripts also incorporate multi-threading and proxy usage to improve scraping efficiency and help avoid common anti-scraping limitations. In addition to raw data collection, some spiders include basic data processing and analysis using tools such as pandas and simple visualization with matplotlib. ... -
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Prompt Engineering Interactive Tutorial
Anthropic's Interactive Prompt Engineering Tutorial
...Lessons include building prompts from scratch for common tasks like extraction, classification, transformation, and step-by-step reasoning, with checkpoints that let you compare your outputs against solid baselines. You’ll also practice advanced patterns such as tool use, constrained generation, and response validation so outputs are trustworthy and machine-consumable. -
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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ComfyUI InstantID ZHO
Unofficial implementation of InstantID for ComfyUI
...It adds custom nodes for loading SDXL base models, InsightFace, ID ControlNet, and the InstantID IP-Adapter. Base models can be loaded locally or downloaded from Hugging Face. The generation node accepts a face reference and can optionally use a pose reference focused around the face. Users can tune IP-Adapter strength, ControlNet conditioning, steps, guidance, seed, and face enhancement. Prompt styling supports positive and negative prompts plus multiple preset styles, while InsightFace can run on CUDA or CPU. -
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Curated Transformers
PyTorch library of curated Transformer models and their components
...Supports state-of-the-art transformer models, including LLMs such as Falcon, Llama, and Dolly v2. Implementing a feature or bugfix benefits all models. For example, all models support 4/8-bit inference through the bitsandbytes library and each model can use the PyTorch meta device to avoid unnecessary allocations and initialization. -
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django-ai-assistant
Integrate AI Assistants with Django to build intelligent applications
Combine the power of LLMs with Django's productivity to build intelligent applications. Let AI Assistants call methods from Django's side and do anything your users need! Use AI Tool Calling and RAG with Django to easily build state of the art AI Assistants. Please check the documentation: https://vintasoftware.github.io/django-ai-assistant/ -
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PSCoverDL
Small tool to download PS1/PS2 covers for DuckStation and PCSX2
PSCoverDL is a companion tool designed to automate the downloading and management of PlayStation game cover art for emulators, providing a user-friendly interface for populating game libraries with visuals. It allows users to select their emulator, specify directories, and automatically retrieve matching cover images based on game metadata. The tool supports multiple platforms and includes features such as multithreading for faster downloads and configuration files for customization. Its... -
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AIF360
A comprehensive set of fairness metrics for datasets
...The complete API is also available. Being a comprehensive set of capabilities, it may be confusing to figure out which metrics and algorithms are most appropriate for a given use case. To help, we have created some guidance material that can be consulted. -
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FreeAskInternet
FreeAskInternet is a completely free running search aggregator
...The backend crawls selected pages, supplies their content to a configured model, and streams a synthesized response to the chat interface. It supports several hosted model services as well as custom local backends such as Ollama and llama.cpp. The web interface is designed for desktop and mobile use and exposes the service only on the local machine by default. Docker Compose provides a straightforward deployment path without requiring a dedicated GPU. The project is still described as early-stage, and actual privacy depends partly on whether users select a local or external model provider. -
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MLPerf
Reference implementations of MLPerf™ training benchmarks
...These implementations are valid as starting points for benchmark implementations but are not fully optimized and are not intended to be used for "real" performance measurements of software frameworks or hardware. Benchmarking the performance of training ML models on a wide variety of use cases, software, and hardware drives AI performance across the tech industry. The MLPerf Training working group draws on expertise in AI and the technology that powers AI from across the industry to design and create industry-standard benchmarks. Together, we create the reference implementations, rules, policies, and procedures to benchmark a wide variety of AI workloads. -
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DeepChem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, etc
DeepChem aims to provide a high-quality open-source toolchain that democratizes the use of deep learning in drug discovery, materials science, quantum chemistry, and biology. DeepChem currently supports Python 3.7 through 3.9 and requires these packages on any condition. DeepChem has a number of "soft" requirements. If you face some errors like ImportError: This class requires XXXX, you may need to install some packages. -
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Postgres-WASM
A PostgresQL server running in your browser
...The system supports persistence through browser storage and enables features such as restoring from backups or replicating data from remote databases, making it useful for testing, demos, and educational use cases. Its architecture relies on emulation layers and virtual networking to bridge communication between the in-browser database and external systems. -
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FluidPatcher
A performance-oriented patch interface for FluidSynth
FluidPatcher is a performance-oriented interface for FluidSynth built using wxpython to create a simple GUI that allows live editing, selecting, and playing of patches. A patch is a collection of settings such as soundfont presets for each MIDI channel, control-change/sysex messages to send when the patch is selected, and midi router or effects settings. Groups of patches are stored in banks, which are saved as human-readable and -editable YAML files. This allows a musician to easily create... -
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Tensor Puzzles
Solve puzzles. Improve your pytorch
Tensor Puzzles is an interactive collection of 21 exercises for learning tensor programming in PyTorch and NumPy. Each puzzle asks the learner to recreate a familiar array operation from first principles. Solutions must fit on one short line and use only a restricted set of indexing, arithmetic, comparison, and broadcasting tools. Standard convenience functions such as sum, view, squeeze, and take are intentionally prohibited. This constraint encourages a deeper understanding of shapes, indexing, and vectorized computation. Automated tests and visual examples help learners check their reasoning as they progress. ... -
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Python Zero to Hero for DevOps Engineers
Learn Python from DevOps Engineer point of you
...The curriculum starts with Python installation, environment setup, and writing your first script, then quickly moves into data types, strings, regular expressions, variables, and functions. It places a strong emphasis on DevOps-specific use cases: environment variables, command-line arguments, configuration handling, and automating log analysis or user management tasks are all explicitly woven into the exercises. As you progress, you encounter increasingly rich Python features such as lists (with list comprehensions), dictionaries, sets, operators, and control flow, always tied back to practical automation or infrastructure examples. -
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PC Musique Player
Music player for Windows with rich features and themes
...Choose any folder to play the audio files from the folder as library. To play audio files in the library listed towards the right side of the app, double click on it. Also use the <space> bar in your keyboard to control Play/Pause/Resume. Now in the lastest version, PC Musique player has mini player mode along with the compact mode. -
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Canopy
Retrieval Augmented Generation (RAG) framework
...It is designed to handle many of the complex components required for a RAG workflow, including document chunking, embedding generation, prompt construction, and chat history management. Developers can use Canopy to quickly build chat systems that answer questions using their own data instead of relying solely on the pretrained knowledge of the language model. The framework includes a built-in server and command-line interface that allow users to experiment with RAG pipelines and compare outputs between retrieval-augmented responses and standard LLM responses. -
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bKappa
Cross-platform incremental backup
bKappa is a 2009 experiment in crude but transparent and cross-platform incremental backup. bKappa backups are simple directory trees and lists of files. They are easy to browse and examine and do not use symbolic or hard links. It is crude in the sense that bKappa only tracks files by name, not by content. This means it cannot detect that a file has been renamed and makes full copies of renamed and partially modified files. It generates standalone restore scripts for the POSIX shell and PowerShell. While it saw real use, bKappa isn't tested enough to be your main backup software. ... -
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LX Linux
A light version of Debian with minimal installed using LXDE.
... - If brightness keys do not work, open a terminal: sudo nano /etc/default/grub where GRUB_CMDLINE_LINUX_DEFAULT="xxxxx" put acpi_backlight=video or acpi_backlight=vendor try one or another and test which one fits your machine Ctrl + s Ctrl + x sudo update-grub - Automatic login: Menu > Preferences > LXDM configurator mark "Automatic login" and close - Use Connman Settings to connect Wi-Fi -
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uwsgi-nginx-flask
Docker image with uWSGI and Nginx for Flask applications in Python
...If you are starting a new project, you might benefit from a newer and faster framework based on ASGI instead of WSGI (Flask and Django are WSGI-based). Also, if you want to use new technologies like WebSockets it would be easier (and possible) with a newer framework based on ASGI, like FastAPI or Starlette. As the standard ASGI was designed to be able to handle asynchronous code like the one needed for WebSockets. -
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Hiera
A fast, powerful, and simple hierarchical vision transformer
Hiera is a hierarchical vision transformer designed to be fast, simple, and strong across image and video recognition tasks. The core idea is to use straightforward hierarchical attention with a minimal set of architectural “bells and whistles,” achieving competitive or superior accuracy while being markedly faster at inference and often faster to train. The repository provides installation options (from source or Torch Hub), a model zoo with pre-trained checkpoints, and code for evaluation and fine-tuning on standard benchmarks. ... -
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Python Crypto Bot
Python Crypto Bot (PyCryptoBot)
Python Crypto Bot (PyCryptoBot). -
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ToRA
Tool-integrated Reasoning LLM Agents
...The framework was designed to address known weaknesses of large language models in mathematical problem solving and formal reasoning tasks. Training data includes tool-use trajectories that teach the model when to reason verbally and when to delegate tasks to specialized tools. -
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AutoGPTQ
An easy-to-use LLMs quantization package with user-friendly apis
AutoGPTQ is an implementation of GPTQ (Quantized GPT) that optimizes large language models (LLMs) for faster inference by reducing their computational footprint while maintaining accuracy.
