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Published directory entries matching your search.
Promptly is a no-code generative AI platform built for enterprise use. It allows users to build generative AI applications, AI agents and chatbots without coding experience, and supports features including model chaining, RAG pipeline creation, custom data integration, and multi-language translation. The platform offers pre-built templates for common use cases.
Open-source, low-code machine learning library in Python that automates machine learning workflows.
The repository holds materials and IPython notebooks for "Python for Data Analysis, 3rd Edition" by Wes McKinney, published by O'Reilly Media. Notebooks cover chapters on Python basics, NumPy, pandas, data loading, cleaning, visualization, time series and modeling libraries, plus appendices. The code is released under the MIT license.
Teaching page by John M. Zelle, Ph.D., for an introductory computer science textbook written in Python and published by Franklin, Beedle & Associates. It links edition-specific public resources for four editions and offers graphics.py, a simple graphics library released under the GPL for introducing object-oriented concepts. Instructor resources including problem solutions and exam questions are available from the publisher.
PyTorchCV is a PyTorch-based framework for deep learning in computer vision. The repository provides source code for computer vision problems, with implemented papers covering image classification, semantic segmentation, object detection, pose estimation and instance segmentation.
QWED is an open-source AI verification infrastructure hosted on GitHub. It provides deterministic verification for large language model outputs, tool calls, code, schemas, and agent state prior to production execution.
Qwen is a GitHub organization presenting Alibaba Cloud's general-purpose AI models, with 60 repositories. Public projects include Qwen3.8, a large language model series, Qwen3-VL, a multimodal large language model series, and qwen-code, an open-source AI coding agent that lives in a terminal.
r/codewebchat points to a Reddit community or thread with discussion, updates, troubleshooting, or shared resources.
r/websim points to a Reddit community or thread with discussion, updates, troubleshooting, or shared resources.
r/ZooCode points to a Reddit community or thread with discussion, updates, troubleshooting, or shared resources.
This GitHub repository hosts the ragapp project, a solution described as the easiest way to use Agentic RAG in any enterprise environment. The repository contains code and documentation for the tool, which is intended for enterprise deployment of agentic retrieval-augmented generation workflows.
RankedAGI is a website that compares benchmarks across different AI models. It features benchmarks such as SWE Bench Verified, Codeforces, LMSYS and LiveBench, and presents a ranked table of models with size, version, release date, context length, cutoff knowledge, license and organization.
Supports software work with AI-assisted coding, testing or application development.
RepoAgent is an LLM-powered repository agent for generating documentation and understanding repositories. It detects changes in Git repositories, analyzes code structure through AST, and identifies bidirectional invocation relationships between objects. It supports GitHub Actions and can be installed via pip or PDM.
Runcell is an AI agent for Jupyter notebooks that automates writing and executing Python code, debugging, and explaining data analysis results. It operates within the notebook environment, inspecting context and planning multi-step workflows autonomously.
Open-source runtime for numerical computing that executes MATLAB-syntax code. Built in Rust, it provides a compiler, a virtual machine, and JIT tiers, with a GPU backend powered by wgpu. The project targets CPU and GPU hardware and handles tensor allocations and movement automatically.
Scalene is a Python profiler that measures CPU, GPU and memory usage. It identifies inefficiencies and can request optimization suggestions from AI providers, including Amazon Bedrock, Microsoft Azure, OpenAI and local models via Ollama. It can be used at the command line or as a Visual Studio Code extension, and installs via pip or conda.
Scenario is a platform for creative production and game assets that brings together image, video, 3D and audio generation models. Users build pipelines as nodes on a canvas and can publish a chain as an app for teammates. It offers custom model training on reference images and connects to assistants and code through Scenario MCP and a REST API.
Scikit-Image is an open-source Python library for image processing. Hosted on GitHub, the project provides installation resources, license information, and documentation for users, and accepts community contributions to the codebase.
Screenpipe is an open source tool developed as part of Y Combinator's S26 batch. It records screen activity continuously on a local device to provide context for AI agents including Claude, Codex, Openclaw, Hermes, and Runner.
CodeFormer, developed by sczhou, is a robust open-source face restoration algorithm designed for restoring old photos and AI-generated faces. The associated web demo is intended for research purposes. It is available via the Replicate platform or for local deployment, runs on Nvidia L40S GPUs, and typically completes predictions in 3 seconds. The associated research was published at NeurIPS 2022.
segment-anything (SAM) is an open-source GitHub repository from Meta's Facebook Research team for the Segment Anything Model. It provides code for running model inference, links to download trained model checkpoints, and example notebooks demonstrating model usage, with support for segmenting objects in images and videos via SAM 2.
Supports software work with AI-assisted coding, testing or application development.
Shap-E is OpenAI's official code and model release for generating conditional 3D implicit functions. It generates 3D objects conditioned on text or images, with example notebooks for text-to-3D and image-to-3D sampling. It is released under the MIT license and installs with pip.
