Xilun Chen (ccsasuke)

ccsasuke

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Company:Meta FAIR

Home Page:https://xilunchen.com/

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Xilun Chen's starred repositories

IPTV

定期更新IPV6直播源,应用于台标匹配测试

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HALOs

A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).

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direct-preference-optimization

Reference implementation for DPO (Direct Preference Optimization)

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landmark-attention

Landmark Attention: Random-Access Infinite Context Length for Transformers

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MonitorControl

🖥 Control your display's brightness & volume on your Mac as if it was a native Apple Display. Use Apple Keyboard keys or custom shortcuts. Shows the native macOS OSDs.

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openai-cookbook

Examples and guides for using the OpenAI API

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fastRAG

Efficient Retrieval Augmentation and Generation Framework

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language

Shared repository for open-sourced projects from the Google AI Language team.

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art

Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"

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GenerativeImage2Text

GIT: A Generative Image-to-text Transformer for Vision and Language

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OFA

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

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SwinBERT

Research code for CVPR 2022 paper "SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning"

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UniK-QA

Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering

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DRL

[arXiv22] Disentangled Representation Learning for Text-Video Retrieval

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dpr-scale

Scalable training for dense retrieval models.

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SLIP

Code release for SLIP Self-supervision meets Language-Image Pre-training

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mm-retrieval-evaluation

mm-retrieval-evaluation

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contriever

Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning

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open_clip

An open source implementation of CLIP.

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StarterCode

Starter Code for VALUE benchmark

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CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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CLIP4Clip

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

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HERO

Research code for EMNLP 2020 paper "HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training"

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beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

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Condenser

EMNLP 2021 - Pre-training architectures for dense retrieval

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Research

novel deep learning research works with PaddlePaddle

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EntityQuestions

EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.org/abs/2109.08535

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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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COIL

NAACL2021 - COIL Contextualized Lexical Retriever

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