jincan333

lm-evaluation-harness

A framework for few-shot evaluation of language models.

WizardLM

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

ILM-VP

[CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, and Sijia Liu

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

LoT

Code for "Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate"

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

vision_transformer

transformer-xl

language_modeling_lstm

Language modeling based on Penn Treebank (RNN/LSTM, Pytorch)

RankGPT

Is ChatGPT Good at Search? LLMs as Re-Ranking Agent

jincan333.github.io

Can Jin's personal website

old_jincan333.github.io

Can Jin's personal website

PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

lstm_ptb

Torch-Pruning

[CVPR-2023] Towards Any Structural Pruning; LLMs / Diffusion / Transformers / YOLOv8 / CNNs

SC

semantic_uncertainty

LLMs reliability

BiP

[NeurIPS22] "Advancing Model Pruning via Bi-level Optimization" by Yihua Zhang*, Yuguang Yao*, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, and Sijia Liu

SMC-Bench

[ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, AJAY KUMAR JAISWAL, Zhangyang Wang

Huggingface_Toturials

bert-base-chinese example

Random_Pruning

[ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy

hydra

Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (https://arxiv.org/abs/2002.10509).

CV_LTH_Pre-training

[CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang

prompt-to-prompt

textual image editting

AntiFraud

Synaptic-Flow

vpt

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

visual_prompting

Exploring Visual Prompts for Adapting Large-Scale Models

Log-diagnosis

leetcode

leetcode刷题