Popular GitHub Repositories for Np Hard

视频硬字幕提取，生成srt文件。无需申请第三方API，本地实现文本识别。基于深度学习的视频字幕提取框架，包含字幕区域检测、字幕内容提取。A GUI tool for extracting hard-coded subtitle (hardsub) from videos and generating srt files.

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.

??High-Performance Face Recognition Library on PaddlePaddle & PyTorch??

:couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

A curated list of awesome exploration RL resources (continually updated)

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

[NeurIPS 2023] This repo contains the code for our paper Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.

[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

self-studying the Sutton & Barto the hard way

auto video translation-video translator can auto translate video hard subtitles, auto video translation and dubbing, remove any video text, auto remove video subtitles/text. 自动视频翻译配音，自动翻译视频字幕和回填样式，自动硬字幕翻译。

[ICLR 2020] NAS evaluation is frustratingly hard

[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"

Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)

Learn Deep Learning The Hard Way

Natural Language Attacks in a Hard Label Black Box Setting.