tyler-tan's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
unslothai/unsloth
Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
KindXiaoming/pykan
Kolmogorov Arnold Networks
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
ccfddl/ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
aiwaves-cn/agents
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents
LLaVA-VL/LLaVA-NeXT
cambrian-mllm/cambrian
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
52CV/CVPR-2023-Papers
easezyc/deep-transfer-learning
A collection of implementations of deep domain adaptation algorithms
AntonioTepsich/Convolutional-KANs
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.
FoundationVision/Groma
[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization
MenghaoGuo/EANet
External Attention Network
thunlp/LLaVA-UHD
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
haoweiz23/Awesome-Fine-grained-Visual-Classification
Awesome Fine-grained Visual Classification
SUN-1024/DA-TransUnet
DA-TransUNet: Combining Dual Attention of Position and Channel with Transformer U-net for Medical Image Segmentation
LMMMEng/TransXNet
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition
jusiro/CLAP
[CVPR 2024] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP).
mlvlab/RPO
Official Implementation of "Read-only Prompt Optimization for Vision-Language Few-shot Learning", ICCV 2023
leesb7426/CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification
Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)
heekhero/DTL
This repository is the official implementation of "DTL: Disentangled Transfer Learning for Visual Recognition", which is accepted by AAAI 2024.
Open-Debin/Bayesian_MQDA
Shallow Bayesian Meta Learning for Real World Few-shot Recognition
LegenDong/ATL-Net
The code of "Learning Task-aware Local Representations for Few-shot Learning", IJCAI 2020.
heekhero/ACSR
lutsong/LCCRN
ChuanMing001/SlimPaCL
official code of PaCL
heekhero/IbM2
This repo is the official implementation of our CVPR 2024 paper "Instance-based Max-margin for Practical Few-shot Recognition".