Ejercicios de código semanales en 2023 de la comunidad MoureDev para practicar lógica en cualquier lenguaje de programación.
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Ejercicios de código semanales en 2023 de la comunidad MoureDev para practicar lógica en cualquier lenguaje de programación.
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
🕵️♂️ (2-in-1) Email & Username OSINT suite featuring native MCP support for deep data extraction just from a single Email/Username. Analyzes 2720+ actively maintained scan vectors (210+ email / 2510+ username) for security research, investigations, and digital footprinting.
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Django app for handling the server headers required for Cross-Origin Resource Sharing (CORS)
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
Deep Reinforcement Learning for Keras.
Autonomous research system for measurable, computer-executable research.
:sparkling_heart: High available distributed ip proxy pool, powerd by Scrapy and Redis
Edit Banana: A framework for converting statistical formats into editable.
Dshell is a network forensic analysis framework.
OpenChat: Advancing Open-source Language Models with Imperfect Data
A social networking service scraper in Python
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
High-resolution models for human tasks.
🧩 FrontierAgent, our agent framework, open-sourced alongside it — native command-line TUI, ReAct and Agent Team modes, one command on macOS and Linux, no preinstall, no hard Docker dependency.
The open source platform for AI-native application development.
Graph Convolutional Networks in PyTorch
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.