Xue Fuzhao's Projects
Adaptive and Conditional Computation in Neural Netwoks
A collection of AWESOME things about domian adaptation
A collection of AWESOME things about mixture-of-experts
Transformers based fully on MLPs
Data preparations for training Bert
An awesome README template to jumpstart your projects!
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
Run evaluation on LLMs using human-eval benchmark
Making big AI models cheaper, easier, and scalable
Course Website for NUS SoC CS4248 Natural Language Processing (Academic Year 2021–2022, Semester 2)
Curated list of data science interview questions and answers
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
主要放置一些自己实现的小Demo
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Code for the paper "Evaluating Large Language Models Trained on Code"
An ASR project based on kaldi and pytorch
Keras attention models including beit,botnet,CoaT,CoAtNet,CMT,cotnet,gmlp,halonet,levit,mlp-mixer,nfnets,regnet,resmlp,resnest,resnext,resnetd,volo
This repository is to prepare for Machine Learning interviews.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
A LaTeX template for thesis of the National University of Singapore (NUS)