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Type: User
Bio: Research Interests: Named Entity Recognition, Relation Extraction, Event Extraction, Multimodal Machine Learning
Type: User
Bio: Research Interests: Named Entity Recognition, Relation Extraction, Event Extraction, Multimodal Machine Learning
高鲁棒性要求下的领域事件检测任务baseline,转化为ner的形式做任务
2019 BDCI互联网金融新实体发现
List of projects for 3d reconstruction
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. Meanwhile, we created a new branch to build a Tabular LLM.(我们分别统一了丰富的IFT数据(如CoT数据,目前仍不断扩充)、多种训练效率方法(如lora,p-tuning)以及多种LLMs,三个层面上的接口,打造方便研究人员上手的LLM-IFT研究平台。同时tabular_llm分支构建了面向表格智能任务的LLM。
Hope you can find everything you need about active learning in this repository.
A collection of autonomous agents 🤖️ powered by LLM.
A comprehensive list of awesome contrastive self-supervised learning papers.
Papers about developing deep Graph Neural Networks (GNNs)
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
Federated learning on graph and tabular data related papers, frameworks, and datasets.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
A curated list of few-shot learning in NLP. :-)
A collection of AWESOME things about Graph-Related LLMs.
A curated list for awesome graph representation learning resources.
Papers and Datasets on Instruction Learning / Instruction Tuning. ✨✨✨
整理知识图谱相关学习资料
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".
💻A small Collection for Awesome LLM Inference [Papers|Blogs|Docs] with codes, contains TensorRT-LLM, streaming-llm, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.
the resources about the application based on LLM with RAG pattern
a collection of resources around LLMs, aggregated for the workshop "Mastering LLMs: End-to-End Fine-Tuning and Deployment" by Dan Becker and Hamel Husain"
A curated list of security-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights into the security implications, challenges, and advancements surrounding these powerful models.
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
List of papers related to neural network quantization in recent AI conferences and journals.
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Bundle-based Hybrid Parallelism Example
CCF-BDCI大数据与计算智能大赛-互联网金融新实体发现-9th
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.