🔊 Text-Prompted Generative Audio Model

Google Research

YSDA course in Natural Language Processing

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Using Low-rank adaptation to quickly fine-tune diffusion models.

李宏毅2021/2022/2023春季机器学习课程课件及作业

exercise for nndl

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

机器学习算法的公式推导以及numpy实现

该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。

动手学数据分析以项目为主线，知识点孕育其中，通过边学、边做、边引导来得到更好的学习效果

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well a…

Notes for Courses in School of Data Science, Fudan University. 复旦大学数据科学与大数据技术专业（复旦大数据）学习笔记。

Experiments generating text with state-of-the-art deep-learning models (GPT2, Transformer XL, ...)