BierOne

BierOne's Stars

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python11.1k70108698

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.7k815061k

• Jingkang50/OpenOOD

  Benchmarking Generalized Out-of-Distribution Detection

  Language:Python9078113116

• Yuanyuan-Yuan/NeuraL-Coverage

  Research Artifact of ICSE 2023 Paper: Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion

  Language:Python251446

• Arnav0400/ViT-Slim

  Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”

  Language:Python24771718

• eric-mitchell/mend

  MEND: Fast Model Editing at Scale

  Language:Python23871333

• ZhangYuanhan-AI/NOAH

  [TPAMI] Searching prompt modules for parameter-efficient transfer learning.

  Language:Python22722611

• brain-research/tensorfuzz

  A library for performing coverage guided fuzzing of neural networks

  Language:Python20918858

• luogen1996/RepAdapter

  Official implementation of "Towards Efficient Visual Adaption via Structural Re-parameterization".

  Language:Python199151524

• deeplearning-wisc/knn-ood

  Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"

  Language:Python17822118

• AnanyaKumar/transfer_learning

  Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratch, and testing them on a variety of datasets (transfer learning)

  Language:Jupyter Notebook1479313

• khanrc/tcl

  Official implementation of TCL (CVPR 2023)

  Language:Python1101296

• locuslab/FLYP

  Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models

  Language:Python9452413

• NeuralCollapseApplications/FSCIL

  [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning"

  Language:Python84475

• mertyg/post-hoc-cbm

  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023

  Language:Python721311

• sjunhongshen/ORCA

  Official implementation of ORCA proposed in the paper "Cross-Modal Fine-Tuning: Align then Refine"

  Language:Python69233

• deeplearning-wisc/cider

  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023

  Language:Python563138

• xu-ji/information-bottleneck

  Deep Learning & Information Bottleneck

  Language:Jupyter Notebook53213

• garyzhao/ME-ADA

  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).

  Language:Python50656

• Frank-ZY-Dou/TORE

  TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer

  Language:Python46223

• salesforce/ensemble-of-averages

  Language:Python29405

• BierOne/ood_coverage

  [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization

  Language:Python26341

• jaeill/CVPR23-VNE

  Official Implementation of CVPR 2023 paper: "VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution"

  Language:Python24423

• PotatoTian/TPGM

  This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning

  Language:Python24112

• WonderSeven/LSSAE

  The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"

  Language:Python24335

• adarobustness/adaptation_robustness

  Evaluate robustness of adaptation methods on large vision-language models

  Language:Shell17110

• thu-ml/LM-Calibration

  Language:Python15600

• arashardakani/SlimFit

  Language:Python10201

• tonyckc/EEGDnet

  This is the code for EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer

  Language:Python9214

• idiap/rethinking-saliency

  Reference implementation of the ICLR 2021 paper "Rethinking the Role of Gradient-Based Attribution Methods for Model Interpretability".

  Language:Python4400