本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

Code for the CVPR2024 paper: VkD : Improving Knowledge Distillation using Orthogonal Projections

本人的科研经验

An LLM finetuning use case comparing Gemma and Llama2

CVPR 2023 paper: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification

SoftVC VITS Singing Voice Conversion

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Code for "Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling" in Proc. of AAAI'23.

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

[ECCV-2022]Grounding Visual Representations with Texts for Domain Generalization

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition

Code for the ICLR 2020 paper "Attention-based interpretability with Concept Transformers"

Image Super-Resolution for Anime-Style Art

Codes and scripts for "Explainable Semantic Space by Grounding Languageto Vision with Cross-Modal Contrastive Learning"

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

This is a PyTorch implementation of the paper "Attribute Prototype Network for Zero-Shot Learning".

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

helper tools for attention visualization in deep learning

[CVPR 2021] A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts

code for "Training Interpretable Convolutional NeuralNetworks by Differentiating Class-specific Filters"

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition

Truncated Normal Distribution in PyTorch

PyTorch Implementation of OpenAI GPT-2

This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Ba…