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Train transformer language models with reinforcement learning.
Fully open reproduction of DeepSeek-R1
Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting
"OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction"
llcresearch / TSDE
Forked from EQTPartners/TSDETSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative dual-orthogonal Transformer encoder architecture with a cross…
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
《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
《机器学习理论导引》(宝箱书)的证明、案例、概念补充与参考文献讲解。
《动手学深度学习》习题解答,在线阅读地址如下:
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
统计学习方法习题解答,在线阅读地址:https://datawhalechina.github.io/statistical-learning-method-solutions-manual
we want to create a repo to illustrate usage of transformers in chinese
Datawhale成员整理的面经,内容包括机器学习,CV,NLP,推荐,开发等,欢迎大家star
PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/
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
《大模型白盒子构建指南》:一个全手搓的Tiny-Universe
本项目为量化开源课程,可以帮助人们快速掌握量化金融知识以及使用Python进行量化开发的能力。
仅需Python基础,从0构建大语言模型;从0逐步构建GLM4\Llama3\RWKV6, 深入理解大模型原理
Official code of the paper "A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models"
[AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀