Stars
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
李宏毅2021/2022/2023春季机器学习课程课件及作业
Pytorch🍊🍉 is delicious, just eat it! 😋😋
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
《大模型白盒子构建指南》:一个全手搓的Tiny-Universe
HuggingLLM, Hugging Future.
动手学Ollama,CPU玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/
wmathor / nlp-tutorial
Forked from graykode/nlp-tutorialNatural Language Processing Tutorial for Deep Learning Researchers
主要存储Datawhale组队学习中“自然语言处理”方向的资料。
李宏毅2021机器学习深度学习笔记PPT作业
ai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch
《动手学深度学习》习题解答,在线阅读地址如下:
聪明办法学Python,简明且系统的 Python 入门教程第二版。
Code related to blog posts on my Medium page
零基础入门NLP - 新闻文本分类 正式赛第一名方案
复旦大学邱锡鹏老师推荐的nlp-beginner项目的实现代码
Deep Learning from Scratch book notes
machine_learning_study
These are my exercise solutions to some of the exercises from Dive into Deep Learning book. They're in the pytorch folder.
everyone_can_pretrain_language_model