hanwsf,hanwsf,github

10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

2019-ncov-shanghai-beijing-confirmed-number

上海、北京新型肺炎第二天确诊人数预测

adanet

Fast and flexible AutoML with learning guarantees.

agilecoder

Dynamic Collaborative Agents for Software Development

ai-platform

An open-source platform for automating tasks using machine learning models

ai-predictivemaintenance

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

androidthings_thingworx_demo

Use DHT11 + Arduino UNO + Raspberry Pi3 + Thingworx Platform to connect AndroidThings with Thingworx

apollo

An open autonomous driving platform

apollo-contrib

apollo-kernel

Collections of Apollo Kernels

apollo-platform

Collections of Apollo Platform Software

apolloauto.github.io

Apollo Documents

app

Web metaverse client

ares-rag

artificial-inteligence

Deep learning networks for object detection to the task of optical character recognition in order to build image features taylored for documents. In contrast to scene text reading in natural images using networks pretrained on ImageNet, our document reading is performed with small networks inspired by MNIST digit recognition challenge, at a small computational budget and a small stride. The object detection modern frameworks allow a direct end-to-end training, with no other algorithm than the deep learning and the non-max-suppression algorithm to filter the duplicate predictions. The trained weights can be used for higher level models, such as, for example, document classification, or document segmentation.

auto-code-rover

A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 30.67% tasks (pass@1) in SWE-bench lite with each task costs less than $0.7.