Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

Follow me，从 0 到 1 掌握 SQL。

向量检索与 RAG 实践：技术、实现与应用

Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

This repository implements the the encoder and decoder model with attention model for OCR

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

VSLAM开源基础教程，各章节练习代码

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/

Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

ScreenAgent: A Computer Control Agent Driven by Visual Language Large Model (IJCAI-24)

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

Question and Answer based on Anything.

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…

Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series

learn

Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

A simple screen parsing tool towards pure vision based GUI agent

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

兜哥出品 <一本开源的NLP入门书籍>

A memory balanced and communication efficient FullyConnected layer with CrossEntropyLoss model parallel implementation in PyTorch

Making large AI models cheaper, faster and more accessible

Notes for C++ Deep Dive Course on Udemy by Abdul Bari.