机器学习原理
ICLR 2024 论文和开源项目合集
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Basic Machine Learning and Deep Learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Google Colaboratory Notebooks and Repositories (by @firmai)
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。
CVPR 2024 论文和开源项目合集
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and al...
This repository recorded my NLP journey.
A collection of computer vision pre-trained models.
Unsupervised Language Modeling at scale for robust sentiment classification
机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...