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some interesting application about ChatGPTdeeplearning
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Automatic Speech Recognition (ASR)Language
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🚀阿童木聊天室 nestjs+vue全栈聊天室 前后端分离 typescript一把梭
基于echarts+html+css+jq的数据可视化大屏展示炫酷看板[附源码]
Pytorch🍊🍉 is delicious, just eat it! 😋😋
pyspark🍒🥭 is delicious,just eat it!😋😋
This is the official implementation of the work RespireNet.
A plugin that will automatically download PDFs of zotero items from sci-hub
Zotero plugin for auto-fetching citation counts from various sources
Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.
Everything about note management. All in Zotero.
CellReport 是一个netcore实现的、以复杂统计报表为核心目标的制作、运行工具。支持数据看板、大屏制作。你可以使用数据库、excel文件、api服务、已有报表等为数据源,通过内置的集合函数组织数据,以类excel界面设计最终呈现结果。
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Collection of handy online tools for developers, with great UX.
各种安全相关思维导图整理收集。渗透步骤,web安全,CTF,业务安全,人工智能,区块链安全,数据安全,安全开发,无线安全,社会工程学,二进制安全,移动安全,红蓝对抗,运维安全,风控安全,linux安全
A mindmap summarising Deep Learning concepts.
Docker - Beginners | Intermediate | Advanced
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解
Keras implementation of RetinaNet object detection.
Machine Learning Toolkit for Kubernetes
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
A tool that automatically formats Python code to conform to the PEP 8 style guide.
GitHub 漫游指南- a Chinese ebook on how to build a good project on Github. Explore the users' behavior. Find some thing interest.
🙌 Welcome open-source Python mini-project contributions!
A collection of simple python mini projects to enhance your python skills
本仓库将PyTorch官方书籍《Deep learning with PyTorch》(基本摘录版)翻译成中文版并给出可运行的相关代码。
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
Transformer的完整实现。详细构建Encoder、Decoder、Self-attention。以实际例子进行展示,有完整的输入、训练、预测过程。可用于学习理解self-attention和Transformer
Graph Attention Networks (https://arxiv.org/abs/1710.10903)