A Comprehensive Toolkit for High-Quality PDF Content Extraction

[NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

A curated list of resources for Learning with Noisy Labels

A Doctor for your data

A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具，支持PDF/网页/多格式电子书提取。

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix

A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.

Complete collection of my PGF/TikZ figures.

This teaching package contains modular contents for the introduction of the fundamentals of Neural Networks. The package consists of a series of MATLAB Live Scripts with complementary PowerPoint pr…

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

LLM Unlearning

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Taming Transformers for High-Resolution Image Synthesis

A curated list of deep learning image classification papers and codes

Re-play Security Events

Vector (and Scalar) Quantization, in Pytorch

🤖 Awesome ChatGPT 中文全指南 🤖这是一个ChatGPT相关的持续更新知识库。如果你对该领域保持着兴趣欢迎关注并运用该知识库！

High-quality implementations of standard and SOTA methods on a variety of tasks.

让复制更加简单！

A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.

[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.

[ICCV2023] Dataset Quantization

95.47% on CIFAR10 with PyTorch

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

[WIP]国内隐私合规技术交流

Awesome coreset/core-set/subset/sample selection works.

LLM Finetuning with peft