LLM101n: Let's build a Storyteller

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LLaMA 2 implemented from scratch in PyTorch

Pytorch implementation of "spectro-temporal attention-based voice activity detection"

Tr-VAD: An Efficient Transformer based Voice Activity Detection Model

本项目旨在分享大模型相关技术原理以及实战经验。

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Inference code for Llama models

Official Code for DragGAN (SIGGRAPH 2023)

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

🐟🐟🐟 机器学习面试复习资源

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

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Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

This library provides common speech features for ASR including MFCCs and filterbank energies.