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AutoMQ is a cloud-first alternative to Kafka by decoupling durability to S3 and EBS. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"
Deep Learning Tutorial notes and code. See the wiki for more info.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Deep Learning Book Chinese Translation
transform Zhihu article to HTML and Markdown files
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…
A list of Free Software network services and web applications which can be hosted on your own servers
Release for Improved Denoising Diffusion Probabilistic Models
Probability Theory and Mathematical Statistics class materials of CUC
5
Updated Mar 1, 2021
This is an vault template for researchers using obsidian.
Probability Theory and Mathematical Statistics Tutorial
这是我于2018年秋季学期修习《概率论与数理统计C》课程时的习题答疑与课程总结整理而成的小册子，或许有助于非数学、统计专业的本科生理解概率论的基本概念。
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
SwinIR: Image Restoration Using Swin Transformer (official repository)
本仓库包含本人在中山大学计算机科学与技术专业的课程资料：计网、算法、并行、信号与系统、人工智能、信安、区块链、数据库、机器人、自然语言处理、高级算法等。
Contains important notes/definitions/propositions from the book Algebra, Topology, Differential Calculus, and Optimization Theory for Computer Science and Machine Learning Jean Gallier and Jocelyn …
英语字典 英语词库 字典词库 四级单词 六级单词 考研单词 雅思 托福 SAT GMAT TOEFL GRE
🌟复习考研的那些事儿(清华912考研)～～
❤️电子科技大学信息与软件工程研究生课程资料（Postgraduate PPT and Homework of UESTC-2019）
2023南京大学计算机科学与技术845考研公共课和专业课资料：数学一、英语一、政治、数据结构、计算机网络、计算机系统基础、操作系统教程、算法设计与分析-包括真题、期末考试、PPT、模拟题、专业课参考书及课后答案、报录比、经验等等
