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anhlbt's Projects

chatchat-knowledgebase icon chatchat-knowledgebase

属于每个人的公众号”查特查特“上线啦！新问题、新方法、新发现，欢迎提PR！

chatgpt-next-web icon chatgpt-next-web

A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。

chatgpt-vue icon chatgpt-vue

使用 Vue3 + Typescript + Tailwind CSS 框架，调用 OpenAI 的 gpt-3.5-turbo 模型 API 实现的简单聊天对话，支持连续对话。

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

chinese-llama-alpaca-2 icon chinese-llama-alpaca-2

中文LLaMA-2 & Alpaca-2大模型二期项目 + 16K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs, including 16K long context models)

chinese-ocr icon chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

clustering-in-python icon clustering-in-python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

code icon code

ActiveState Code Recipes

computer-science-flash-cards icon computer-science-flash-cards

Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

customer-life-time-value-prediction-flask-deployment--heroku icon customer-life-time-value-prediction-flask-deployment--heroku

The motive of the project is to predict the Customer LifeTime Value of a Four Wheeler Insurance Company and it is implemented by satisfying all MLR Assumptions. All the basic Exploratory Data Analysis and Data preprocessing, end to end Data Science life cycle has been implemented in this project.

cvat icon cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

d2l-en icon d2l-en

An interactive deep learning book with code, math, and discussions, based on the NumPy interface.

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