xqlin98

xqlin98's Stars

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  67.7k1.9k1439.2k

• meta-llama/llama

  Inference code for Llama models

  Language:Python57.1k5251.1k9.6k

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  20.3k389291.7k

• apache/singa

  a distributed deep learning platform

  Language:C++3.4k1331071.3k

• eliahuhorwitz/Academic-project-page-template

  A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

  Language:JavaScript2.4k53360

• google/neural-tangents

  Fast and Easy Infinite Neural Networks in Python

  Language:Jupyter Notebook2.3k62156227

• innovation-cat/Awesome-Federated-Machine-Learning

  Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

  1.8k410274

• Guang000/Awesome-Dataset-Distillation

  A curated list of awesome papers on dataset distillation and related applications.

  Language:HTML1.5k3113136

• jjbrophy47/machine_unlearning

  Existing Literature about Machine Unlearning

  81025699

• magic-research/Dataset_Quantization

  [ICCV2023] Dataset Quantization

  Language:Python25671419

• jiashunwang/Neural-Pose-Transfer

  Neural Pose Transfer by Spatially Adaptive Instance Normalization. In CVPR 2020

  Language:Python14571521

• daviddao/awesome-data-valuation

  💱 A curated list of data valuation (DV) to design your next data marketplace

  1135113

• NUS-HPC-AI-Lab/DATM

  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

  Language:Python954156

• jiashunwang/Long-term-Motion-in-3D-Scenes

  Synthesizing Long-Term 3D Human Motion and Interaction in 3D in CVPR2021

  Language:Python923137

• jiashunwang/MRT

  Multi-Person 3D Motion Prediction with Multi-Range Transformers. In NeurIPS2021

  Language:Python67205

• GodXuxilie/PromptAttack

  An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)

  Language:Python653412

• FudanDISC/ReForm-Eval

  An benchmark for evaluating the capabilities of large vision-language models (LVLMs)

  Language:Python42084

• xqlin98/INSTINCT

  This is the official implementation for the paper: Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers

  Language:Python41123

• microsoft/dp-few-shot-generation

  Language:Python23415

• pluskid/structural-regularity

  Language:Python22513

• GodXuxilie/RobustSSL_Benchmark

  Benchmark of robust self-supervised learning (RobustSSL) methods & Code for AutoLoRa (ICLR 2024).

  Language:Python15424

• jiashunwang/ZPT

  Zero-shot Pose Transfer for Unrigged Stylized 3D Characters. In CVPR2023

  12910

• xqlin98/APOHF

  Prompt Optimization with Human Feedback

  Language:Python11114

• GodXuxilie/Efficient_ACL_via_RCS

  Efficient Adversarial Contrastive Learning via Robustness-aware Coreset Selection (NeurIPS 2023 Spotlight)

  Language:Python9301

• JTWang2000/FreeShap

  Fine-tuning-free Shapley value (FreeShap) for instance attribution

  Language:Python9201

• xqlin98/Fair-yet-Equal-CML

  This is the official implementation of the ICML 2023 paper "Fair yet Asymptotically Equal Collaborative Learning"

  Language:Python9200

• GodXuxilie/Enhancing_ACL_via_AIR

  Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization (NeurIPS 2023)

  Language:Python8212

• xqlin98/Joint-Representation-Learning-of-Legislator-and-Legislation-for-Roll-Call-Prediction

  This repository includes the dataset and codes for the paper Joint Representation Learning of Legislator and Legislation for Roll Call Prediction, published in IJCAI 2020

  Language:Python8100

• BobbyZhouZijian/detail_release

  Official released code for paper title "DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning"

  Language:Python6101

• XinyiYS/CML-RewardDistribution

  The code for the paper "Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards" AAAI'22 Oral Presentation.

  Language:Python5101