A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

NMA Computational Neuroscience course

人工精调的中文对话数据集和一段chatglm的微调代码

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL…

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

a public domain dataset of EEG recordings for music imagery information retrieval

Material for Pybrain 2020 MNE-Python workshop

[数据+代码] 经典的中文情感词典、情感分析停用词、程度副词、否定词表+中文金融情感词典（包括上市公司文本_正式和股吧社媒文本_非正式）...

Classifying Audio to Emotion

Summer course content for Neuromatch Academy

Code and data used for participation in SemEval-2018 Task 3: "Irony detection in English tweets"

Kaggle Competition

高校专业录取分爬虫及分析

Stroop Effect - Udacity Data Analyst Nanodegree Project