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awesome-information-bottleneck

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

awesome-quantization-papers

List of papers related to neural network quantization in recent AI conferences and journals (please refer to README in the folder for a better view).

bert_flask

使用bert训练MRPC数据集，写成API接口模式以及简易的html界面

bsq

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

dambqv2

group-net-image-classification

Structured Binary Neural Networks for Image Recognition

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regula

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mycalculator

Calculator-team19

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

nowcoder_community

pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

rapq

Pytorch implementation of RAPQ, IJCAI 2022

textpruner

A PyTorch-based model pruning toolkit for pre-trained language models

top-ai-conferences-paper-with-code

This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

vibnet

Compressing Neural Networks using the Variational Information Bottleneck