基于AI的图片/视频硬字幕去除、文本水印去除，无损分辨率生成去字幕、去水印后的图片/视频文件。无需申请第三方API，本地实现。AI-based tool for removing hard-coded subtitles and text-like watermarks from videos or Pictures.

Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

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。

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

Provide best practices for LMOps, as well as elegant and convenient access to the features of the Qianfan MaaS Platform. (提供大模型工具链最佳实践，以及优雅且便捷地访问千帆大模型平台）

飞桨可信AI

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

CVPR 2025 论文和开源项目合集

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

A collection of state-of-the-art image quality assessment algorithms

🖼️ 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch implementation of "Learning Fine-grained Image Similarity with Deep Ranking" (arXiv:1404.4661)

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

2019百度语言与智能技术竞赛信息抽取赛代5名代码

The repo covers some widely used relation extraction datasets and will be continuously updated.

各种学习资料，包括一些百度云视频链接还有pdf资料 --搬运工

keras implement of transformers for humans

The source code and dataset for our paper "Integrating Relation Constraints with Neural Relation Extractors" which is publicated at AAAI 2020

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

[ACL 2020] A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

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