[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，思想类，数学类，人物传记书籍

Instruct-tune LLaMA on consumer hardware

Code and documentation to train Stanford's Alpaca models, and generate the data.

🔊 Text-Prompted Generative Audio Model

FSA/FST algorithms, differentiable, with PyTorch compatibility.

Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Scrapy, a fast high-level web crawling & scraping framework for Python.

End-to-End Speech Processing Toolkit

Efficient neural speech synthesis

WTF Solidity 极简入门教程，供小白们使用。Now supports English! 官网: https://wtf.academy

Pytorch nn.Transformer Demo

DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog

✨ Official PyTorch Implementation for EMNLP'19 Paper, "Dual Attention Networks for Visual Reference Resolution in Visual Dialog"

PyTorch Implementation of Multi-View Attention Networks for Visual Dialog

Implementation for "Large-scale Pretraining for Visual Dialog" https://arxiv.org/abs/1912.02379

PyTorch code for Reasoning Visual Dialogs with Structural and Partial Observations

This repository contains code used in our ACL'20 paper History for Visual Dialog: Do we really need it?

Starter code in PyTorch for the Visual Dialog challenge

Contains a collection of Visual Dialog and VQA papers

visual dialog model in pytorch

Flops counter for convolutional networks in pytorch framework

精通以太坊 （中文版）

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…

BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)