Lei Li (TobiasLee)

TobiasLee

User data from Github https://github.com/TobiasLee

Company:PhD student@HKU. Previously MSc Student@LANCO-PKU

Location:Hong Kong

Home Page:https://lilei-nlp.github.io

GitHub:@TobiasLee

Twitter:@_TobiasLee


Organizations
lancopku

Lei Li's repositories

Awesome-Efficient-PLM

Must-read papers on improving efficiency for pre-trained language models.

VEC

Visual and Embodied Concepts evaluation benchmark

ChineseNER

CLUENER2020 Chinese NER task

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FormBERT

Code implementation of FormBERT, accepted by Findings of EMNLP 2021

DeftEval2020

DeftEval 2020: Definition extraction Challenge

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tobiaslee.github.io

TobiasLee's Blog, recording NLP notes and my life.

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autoSubmit

北京大学疫情出入校自动填报

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all-contributors

✨ Recognize all contributors, not just the ones who push code ✨

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Beijing_Daxuexi_Simple

北京 青年大学习 使用Github Actions自动完成

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CLIP

Contrastive Language-Image Pretraining

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daily_fudan_actions

daily_fudan的运行器,自动定时执行https://github.com/Limour-dev/daily_fudan_core 的代码

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DCKD

Code and data for Distributional Correlation–Aware Knowledge Distillation for Stock Trading Volume Prediction (ECML-PKDD 22)

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email-helper

Generate your business emails in seconds (by OpenAI)

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ICL_PaperList

Paper List for In-context Learning 🌷

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LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

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lmms-eval

Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval.

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Module-0

Module 0 - Fundamentals

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Module-1

Module 1 - Autodifferentiation

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PKU-SIMSO-FREE

自动申请园区往返

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prismatic-vlms

A flexible and efficient codebase for training visually-conditioned language models (VLMs)

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R1-V

Witness the aha moment of VLM with less than $3.

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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VL_adapter

PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)

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VLMEvalKit

Open-source evaluation toolkit of large vision-language models (LVLMs), support 160+ VLMs, 50+ benchmarks

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