TingqiaoXu

TingqiaoXu's Stars

• atfortes/Awesome-LLM-Reasoning

  Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓

  2.1k119

• KbsdJames/Awesome-LLM-Preference-Learning

  The official repository of our survey paper: "Towards a Unified View of Preference Learning for Large Language Models: A Survey"

  1622

• hijkzzz/Awesome-LLM-Strawberry

  A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

  5.6k306

• Zhen-Tan-dmml/LLM4Annotation

  24915

• XingYu-Zhong/LLMsStudy

  收集大语言模型的学习路径和各种最佳实践

  21627

• datawhalechina/daily-interview

  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

  Language:HTML2.6k434

• amusi/Deep-Learning-Interview-Book

  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）

  7.7k1.3k

• km1994/RES-Interview-Notes

  该仓库主要记录 推荐系统 算法工程师相关的面试题

  52186

• WeThinkIn/Interview-for-Algorithm-Engineer

  【三年面试五年模拟】AI算法工程师面试秘籍。涵盖AIGC、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、SLAM、具身智能、元宇宙、AGI等AI行业面试笔试经验与干货知识。

  875134

• code-wd/AI_offer

  这个项目主要用来总结算法工程师面试中常见的问题

  325

• facebookresearch/metaseq

  Repo for external large-scale work

  Language:Python6.5k728

• liguodongiot/llm-action

  本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

  Language:HTML11.7k1.2k

• wdndev/llm_interview_note

  主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

  Language:HTML4.2k473

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  13.1k835

• jianzongwu/Awesome-Open-Vocabulary

  (TPAMI 2024) A Survey on Open Vocabulary Learning

  86251

• Qinying-Liu/Awesome-Open-Vocabulary-Semantic-Segmentation

  A curated publication list on open vocabulary semantic segmentation and related area (e.g. zero-shot semantic segmentation) resources..

  48926

• pliang279/awesome-multimodal-ml

  Reading list for research topics in multimodal machine learning

  6.1k853

• jingyi0000/VLM_survey

  Collection of AWESOME vision-language models for vision tasks

  2.6k222

• cv516Buaa/OV-VG

  292

• Charles-Xie/awesome-described-object-detection

  A curated list of papers and resources related to Described Object Detection, Open-Vocabulary/Open-World Object Detection and Referring Expression Comprehension. Updated frequently and pull requests welcomed.

  21716

• FoundationVision/GenerateU

  [CVPR2024] Generative Region-Language Pretraining for Open-Ended Object Detection

  Language:Python1486

• AmourWaltz/BayesLMs

  Project for IEEE/ACM TASLP “Bayesian Neural Network Language Modeling for Speech Recognition”

  Language:Jupyter Notebook82

• chariff/GPro

  Python package for Preference Learning with Gaussian Processes.

  Language:Python327

• MichaelCSHN/bayesian-optimization-in-action

  Source code for Bayesian Optimization in Action, published by Manning

  64

• OATML/non-parametric-transformers

  Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"

  Language:Python40440

• RichRast/SPIN

  Semi-Parametric Inducing Point Networks and Neural Processes

  Language:Python41

• Sabelz/Gaussian_Processes_Inducing_Points

  A Gaussian Process Project

  Language:Jupyter Notebook1

• chenw20/SGPA

  Example code of Sparse Gaussian Process Attention (ICLR 2023)

  Language:Python223

• owl-project/NVISII

  Language:C++33229

• automl/PFNs

  Our maintained PFN repository. Come here to train SOTA PFNs.

  Language:Jupyter Notebook5310