Popular GitHub Repositories for Hard Exploration

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??

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

MS-Agent: Lightweight Framework for Empowering Agents with Autonomous Exploration

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

For deep RL and the future of AI.

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

Automatically find issues in image datasets and practice data-centric computer vision.

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.

AIDE: AI-Driven Exploration in the Space of Code. State of the Art machine Learning engineering agents that automates AI R&D.

A 2D space exploration and mining game made with Godot and our AI framework

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Python implementations of contextual bandits algorithms

Feature exploration for supervised learning

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

Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.

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"