Search results for "deep-learning"
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related website
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
【三年面试五年模拟】AIGC算法工程师面试秘籍。涵盖AIGC、LLM大模型、AI Agent、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、强化学习、大数据挖掘、具身智能、元宇宙、AGI等AI行业面试笔试干货经验与核心知识。
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
AI-agent-friendly PyTorch research pipeline — one YAML config drives preflight, training, Optuna HPO, and real-time TUI monitoring
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
A type-safe, lightweight, modern, and performant binding Java binding of Microsoft's ONNX Runtime
Optimize websites for AI search engines with a universal TypeScript engine supporting Next.js, NestJS, WordPress, and Shopify integration.
🧠 Empower AI agents with instant knowledge of your business using structured markdown files for consistent, accurate outputs every time.
AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in local exclusive ChatGPT, DeepSeek, Phi, Qwen and o
📷 Transform any camera into ROS2 image topics for seamless integration with robotic systems and effective VLA model deployment.
Capture and summarize Claude Code sessions into searchable, browsable engineering journals with a web UI and automated daily entries.
Automate the OpenClaw installation on macOS with a native GUI that cuts setup time from 30 minutes to 3 minutes.
🚀 Run Python on Kaggle's free GPUs directly from your terminal without the need for a browser, streamlining your data science workflow.
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🚀 Process JSON data in batches with `llm-batch`, leveraging sequential or parallel modes for efficient interaction with LLMs.
A modular deep learning framework for training and evaluating image classification models on datasets like CIFAR-10 and MNIST. Supports configurable CNN architectures, automated training, and performa
A framework for fine-tuning retrieval-augmented generation (RAG) systems.
A simple neural network inference framework