Vector (and Scalar) Quantization, in Pytorch
- artificial-intelligence
- deep-learning
- pytorch
- vector-quantization
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Vector (and Scalar) Quantization, in Pytorch
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
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Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
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GeoAI: Artificial Intelligence for Geospatial Data
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[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
The official Python SDK for the ElevenLabs API.
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
a delightful machine learning tool that allows you to train, test, and use models without writing code
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A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Interpretability and explainability of data and machine learning models
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