JM (Jianqiang)

Jianqiang

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

Company:University of Tübingen

Location:Tübingen, Germany

Home Page:http://www.manlp.com

GitHub:@Jianqiang

JM's repositories

qlib

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

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swarm

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

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visual-chatgpt

Official repo for the paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

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Mengzi

Mengzi Pretrained Models

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stable-diffusion

A latent text-to-image diffusion model

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pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

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tevatron

Tevatron - A flexible toolkit for dense retrieval research and development.

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ALBEF

Code for ALBEF: a new vision-language pre-training method

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GLM

GLM (General Language Model)

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SPTAG

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

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AutoPhrase

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

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Oscar

Oscar and VinVL

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ANCE

A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks

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DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

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tas-balanced-dense-retrieval

SIGIR 2021: Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

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tapas

End-to-end neural table-text understanding models.

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TaBERT

This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).

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rat-sql

A relation-aware semantic parsing model from English to SQL

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ESIM

Implementation of the ESIM model for natural language inference with PyTorch

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unilm

UniLM - Unified Language Model Pre-training

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IRNet

An algorithm for cross-domain NL2SQL

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tranX

A general-purpose neural semantic parser for mapping natural language queries into machine executable code

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NeuroNLP2

Deep neural models for core NLP tasks (Pytorch version)

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tianchi_nl2sql

追一科技首届中文NL2SQL挑战赛决赛第3名方案+代码

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stog

AMR Parsing as Sequence-to-Graph Transduction

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transformers

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

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WikiSQL

A large annotated semantic parsing corpus for developing natural language interfaces.

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albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

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