Search Results for "mingw-get-setup.exe" - Page 2
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Showing 733 open source projects for "mingw-get-setup.exe"
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requests-cache
Persistent HTTP cache for python requests
requests-cache is a persistent HTTP cache that provides an easy way to get better performance with the Python requests library. Keep using the requests library you’re already familiar with. Add caching with a drop-in replacement for requests. The session, or install globally to add transparent caching to all request functions. Get sub-millisecond response times for cached responses. When they expire, you still save time with conditional requests. -
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pep484 stubs for Django
PEP-484 stubs for Django
...Django uses some Python "magic" that makes having precise types for some code patterns problematic. This is why we need this project. The final goal is to be able to get precise types for the most common patterns. We are independent from Django at the moment. There's a proposal to merge our project into the Django itself. You can show your support by liking the PR. This project does not affect your runtime at all. It only affects mypy type checking process. The current implementation uses Django's runtime to extract information about models, so it might crash if your installed apps or models.py are broken. -
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PaperQA2
High accuracy RAG for answering questions from scientific documents
...See our recent 2024 paper to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and contradiction detection. In this example we take a folder of research paper PDFs, magically get their metadata - including citation counts and a retraction check, then parse and cache PDFs into a full-text search index, and finally answer the user question with an LLM agent. -
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Infinity
Low-latency REST API for serving text-embeddings
Infinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting all sentence-transformer models and frameworks. Infinity is developed under MIT License. Infinity powers inference behind Gradient.ai and other Embedding API providers. -
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Amazon Braket Python Schemas
A library that contains schemas for Amazon Braket
...Think of the IR as the contract between the Amazon Braket SDK and Amazon Braket API for quantum programs. Schemas for the S3 results of each quantum task. Schemas for the device capabilities of each device. The preferred way to get Amazon Braket Python Schemas is by installing the Amazon Braket Python SDK, which will pull in the schemas. You can install from source by cloning this repository and running a pip install command in the root directory of the repository. There are currently two types of IR, including jaqcd (JsonAwsQuantumCircuitDescription) and annealing. -
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YOLOv5
YOLOv5 is the world's most loved vision AI
Introducing Ultralytics YOLOv8, the latest version of the acclaimed real-time object detection and image segmentation model. YOLOv8 is built on cutting-edge advancements in deep learning and computer vision, offering unparalleled performance in terms of speed and accuracy. Its streamlined design makes it suitable for various applications and easily adaptable to different hardware platforms, from edge devices to cloud APIs. Explore the YOLOv8 Docs, a comprehensive resource designed to help... -
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Mastodon.py
Python wrapper for the Mastodon
Python wrapper for the Mastodon API. Feature complete for public API as of Mastodon version 3.5.5 and easy to get started with. -
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qutebrowser
A keyboard-driven, vim-like browser based on PyQt5
...To sustain this for a long time, your help is needed! See the GitHub Sponsors page for more information. Depending on your sign-up date and how long you keep a certain level, you can get qutebrowser t-shirts, stickers and more! -
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Great Expectations
Always know what to expect from your data
...Expectations are assertions for data. They are the workhorse abstraction in Great Expectations, covering all kinds of common data issues. Expectations are a great start, but it takes more to get to production-ready data validation. Where are Expectations stored? How do they get updated? How do you securely connect to production data systems? How do you notify team members and triage when data validation fails? Great Expectations supports all of these use cases out of the box. Instead of building these components for yourself over weeks or months, you will be able to add production-ready validation to your pipeline in a day. -
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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yt-dlp
A youtube-dl fork with additional features and fixes
yt-dlp is a youtube-dl fork based on the now inactive youtube-dlc. The main focus of this project is adding new features and patches while also keeping up to date with the original project -
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Khoj
An AI personal assistant for your digital brain
Get more done with your open-source AI personal assistant. Khoj is a desktop application to search and chat with your notes, documents, and images. It is an offline-first, open-source AI personal assistant that is accessible from Emacs, Obsidian or your Web browser. Khoj is a thinking tool that is transparent, fun, and easy to engage with. -
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Dear ImGui Bundle
Dear ImGui Bundle: easily create ImGui applications in Python and C++
...It enables to easily create ImGui applications in C++ and Python, under Windows, macOS, and Linux. It is aimed at application developers, researchers, and beginner developers who want to quickly get started. -
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UpTrain
Your open-source LLM evaluation toolkit
Get scores for factual accuracy, context retrieval quality, guideline adherence, tonality, and many more. You can’t improve what you can’t measure. UpTrain continuously monitors your application's performance on multiple evaluation criterions and alerts you in case of any regressions with automatic root cause analysis. UpTrain enables fast and robust experimentation across multiple prompts, model providers, and custom configurations, by calculating quantitative scores for direct comparison and optimal prompt selection. ... -
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OctoPrint
OctoPrint is the snappy web interface for your 3D printer
...Control and monitor every aspect of your 3D printer and your printing jobs right from within your browser. Access the embedded webcam feed and watch remotely how your printer is creating your newest thing. Get constant feedback regarding the current progress of your print job. Take a look at the integrated GCODE visualizer to see a rendition of the GCODE you are currently printing. Keep an eye on the temperatures of your hotends and print bed and adapt them on the fly. Move the print head along all axes, extrude, retract or just define your own custom controls. -
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Algo VPN
Set of Ansible scripts that simplifies the setup of a personal VPN
Introducing Algo, a self-hosted personal VPN server designed for ease of deployment and security. Algo automatically deploys an on-demand VPN service in the cloud that is not shared with other users, relies on only modern protocols and ciphers, and includes only the minimal software you need. And it’s free. For anyone who is privacy conscious, travels for work frequently, or can’t afford a dedicated IT department, this one’s for you. Really, the paid-for services are just commercial... -
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FastAPI
FastAPI framework, high performance, easy to learn, fast to code
...Less time debugging. Designed to be easy to use and learn. Less time reading docs. Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs. Get production-ready code. With automatic interactive documentation. Based on (and fully compatible with) the open standards for APIs: OpenAPI (previously known as Swagger) and JSON Schema. If you are building a CLI app to be used in the terminal instead of a web API, check out Typer. Typer is FastAPI's little sibling. And it's intended to be the FastAPI of CLIs. ... -
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LiteLLM
lightweight package to simplify LLM API calls
Call all LLM APIs using the OpenAI format [Anthropic, Huggingface, Cohere, Azure OpenAI etc.] liteLLM supports streaming the model response back, pass stream=True to get a streaming iterator in response. Streaming is supported for OpenAI, Azure, Anthropic, and Huggingface models. -
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PyQuil
A Python library for quantum programming using Quil
PyQuil is a Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing. PyQuil serves three main functions. PyQuil has a ton of other features, which you can learn more about in the docs. However, you can also keep reading below to get started with running your first quantum program. Without installing anything, you can quickly get started with quantum programming by exploring our interactive Jupyter Notebook tutorials and examples. To run them in a preconfigured execution environment on Binder, click the "launch binder" badge at the top of the README or the link here! ... -
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Pokete
A terminal based Pokemon like game
...Imagine that you’re a Pokete Trainer and you travel around the world to catch/train as many Poketes as possible with the ultimate goal of becoming the best trainer. First of all you get a starter Pokete (Steini), that you can use to fight battles with other Poketes. Use W, A, S and D to move around. When entering the high grass (;), you may be attacked by a wild Pokete. By pressing 1 you can choose between the attacks your Pokete has (as long their AP is over 0). By pressing the according number, or navigating with the * cursor to the attack and pressing Enter you can use the attack selected. ... -
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Qbot
AI-powered Quantitative Investment Research Platform
...The project places special emphasis on AI-driven strategies — including supervised learning, reinforcement learning and multi-factor models — and offers a “model zoo” and example strategies to help users get started. For evaluation and analysis, Qbot integrates reporting and visualization (tearsheets, metrics) so you can compare performance across runs and inspect trade-level behavior. It supports multiple strategy runtimes and backtesting engines, is organized for extensibility (strategies live in a dedicated folder). -
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Video-subtitle-extractor
A GUI tool for extracting hard-coded subtitle (hardsub) from videos
...Use local OCR recognition, no need to set up and call any API, and do not need to access online OCR services such as Baidu and Ali to complete text recognition locally. Support GPU acceleration, after GPU acceleration, you can get higher accuracy and faster extraction speed. (CLI version) No need for users to manually set the subtitle area, the project automatically detects the subtitle area through the text detection model. Filter the text in the non-subtitle area and remove the watermark (station logo) text. -
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Polar.sh
Polar is the best funding & monetization platform for developers
Focus on building your passion, while we focus on the infrastructure to get you paid. Your Polar page can be displayed as an official funding option across your GitHub repositories. Get one-time donations of support from your community with ease. Turn issues into a crowdfunded backlog and share the funding with your contributors. -
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django-health-check
a pluggable app that runs a full check on the deployment
The primary intended use case is to monitor conditions via HTTP(S), with responses available in HTML and JSON formats. When you get back a response that includes one or more problems, you can then decide the appropriate course of action, which could include generating notifications and/or automating the replacement of a failing node with a new one. If you are monitoring health in a high-availability environment with a load balancer that returns responses from multiple nodes, please note that certain checks (e.g., disk and memory usage) will return responses specific to the node selected by the load balancer. -
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BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics
...For a more detailed overview, you can read the paper or see a brief overview. After having trained our BERTopic model, we can iteratively go through hundreds of topics to get a good understanding of the topics that were extracted. However, that takes quite some time and lacks a global representation. Instead, we can visualize the topics that were generated in a way very similar to LDAvis. By default, the main steps for topic modeling with BERTopic are sentence-transformers, UMAP, HDBSCAN, and c-TF-IDF run in sequence. -
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Trellis
WordPress LEMP stack with PHP 8.1, Composer, WP-CLI
Trellis uses Vagrant to automatically create a self-contained virtual machine. Stop cluttering up your host machine with software like MAMP and use the same software you would in production. You’ll get a complete WordPress server running all the software you need to be configured according to the best practices. All of this is powered by Ansible for configuration management. You don’t have to use brittle and confusing Bash scripts or worry about commands you found to copy and paste. Trellis is all about development & production parity. ...
