Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

Collection of AWESOME vision-language models for vision tasks

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Anomaly detection related books, papers, videos, and toolboxes

[CVPR2024] SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

A Light Event-Driven Algorithmic Trading Engine

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

Fault Diagnosis of Interturn short circuit of Permanent Magnet Synchronous Motor based on Depth Learning

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

Resource scheduling and cluster management for AI

一种任务级GPU算力分时调度的高性能深度学习训练平台

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Understanding Deep Learning - Simon J.D. Prince

📈 如何用深度强化学习自动炒股

深度学习经典、新论文逐段精读

深度学习入门教程, 优秀文章, Deep Learning Tutorial

📚 机器学习、深度学习、自然语言处理学习路线图 及 AI方向学习资源、工具

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial…

中国的Quant相关资源索引

Quantitative analysis, strategies and backtests

Zipline, a Pythonic Algorithmic Trading Library