Code for "Logit Prototype Learning with Active Multi-modal Representation for Robust Open Set Recognition"

基于《cuda编程-基础与实践》（樊哲勇 著）的cuda学习之路。

该仓库主要记录 大模型（LLMs） 算法工程师相关的面试题

每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

An implementation of the transformer architecture onto an Nvidia CUDA kernel

大模型基础: 一文了解大模型基础知识

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

Datasets for Multi-view Learning

Trading Strategies for Freqtrade

Free, open source crypto trading bot

Easy to use backtrader UI

Quant Examples Based on Backtrader.

BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）

Python Backtesting library for trading strategies

Open source software that helps you create and deploy high-frequency crypto trading bots

NexusTrader is a professional-grade open-source quantitative trading platform

跑Alpah的工具

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

[ICML 2024] Official code for Uncertainty Estimation by Density Aware Evidential Deep Learning

Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)

This repository contains some of the multi-view datasets that are often used in our research.

[AAAI 2025] Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification

Reliable Conflictive Multi-view Learning

[ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning

Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

The code repository of ECCV 2022 paper "Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction"

Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.