Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

OpenMMLab Model Deployment Framework

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Implementation of "Genie: Show Me the Data for Quantization" (CVPR 2023)

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…

Model Quantization Benchmark

A complete computer science study plan to become a software engineer.

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cycleg…

It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]

Official PyTorch implementation of Data-free Knowledge Distillation for Object Detection, WACV 2021.

CVPR 2021 : Zero-shot Adversarial Quantization (ZAQ)

Pytorch implementation of BRECQ, ICLR 2021

[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework

Nowack Lab at Cornell: Mesoscale Scanning Probe Microscopy

Tools for inferring electric surface currents from magnetic flux images

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition