Kaya815

Kaya815's Stars

• 3b1b/manim

  Animation engine for explanatory math videos

  Language:Python61.6k5.7k

• AAA-Zheng/Listwise_ITR

  Official PyTorch implementation of the paper "Integrating Listwise Ranking into Pairwise-based Image-Text Retrieval"

  Language:Python8

• xinwei666/MMGenerativeIR

  Official Code of our AAAI-24 Paper: "Generative Multi-modal Knowledge Retrieval with Large Language Models".

  Language:Python16

• yakt00/IRGen

  Language:Jupyter Notebook101

• RUC-NLPIR/FlashRAG

  ⚡FlashRAG: A Python Toolkit for Efficient RAG Research

  Language:Python1.1k80

• gabriben/awesome-generative-information-retrieval

  58248

• maszhongming/MatchSum

  Code for ACL 2020 paper: "Extractive Summarization as Text Matching"

  Language:Python519108

• XiangLi1999/Diffusion-LM

  Diffusion-LM

  Language:Python1k133

• hpzhang94/DiffuSum

  codebase for paper DiffuSum: Generation Enhanced Extractive Summarization with Diffusion

  Language:Python181

• simongog/sdsl-lite

  Succinct Data Structure Library 2.0

  Language:C++2.2k346

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python60.8k10.8k

• HansiZeng/RIPOR

  [WWW 2024] The official repo for paper "Scalable and Effective Generative Information Retrieval".

  Language:Python485

• Shark-NLP/DiffuSeq

  [ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

  Language:Python70787

• Yuanhy1997/SeqDiffuSeq

  Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation [NAACL 2024]

  Language:Python8613

• Miracle0814/DiffusionRet

  Language:Python1

• RUC-NLPIR/GenIR-Survey

  This is the repository for the GenIR survey.

  976

• km1994/LLMs_interview_notes

  该仓库主要记录 大模型（LLMs） 算法工程师相关的面试题

  1.3k97

• torvalds/linux

  Linux kernel source tree

  Language:C177k53k

• h2oai/h2o-3

  H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

  Language:Jupyter Notebook6.8k2k

• liyongqi67/LTRGR

  10

• facebookresearch/SEAL

  Search Engines with Autoregressive Language models

  Language:Python27524

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.1k6.4k

• MTLab/MorphMLP

  Language:Python16615

• liyongqi67/MINDER

  Language:Python371

• allegro/allRank

  allRank is a framework for training learning-to-rank neural models based on PyTorch.

  Language:Python843117

• jdf-prog/LLM-Gen

  A simple generate script utils using fastchat conv template for generation of Large Language Models

  Language:Python204

• yuchenlin/LLM-Blender

  [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.

  Language:Python85072

• PKUFlyingPig/cs-self-learning

  计算机自学指南

  Language:HTML55.1k6.7k

• manujosephv/pytorch_tabular

  A standard framework for modelling Deep Learning Models for tabular data

  Language:Python1.3k134

• hpclab/rankeval

  Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.

  Language:Python8811