jornywan Goto Github PK

adni-brain-mri-alzheimer-wgan-generation-and-classification

Brain T1-Weighted MRI Images Classification and WGAN Generation (Alzheimer's and Healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trained on ADNI dataset.

awesome-cvpr2023-low-level-vision

A Collection of Papers and Codes in CVPR2023/2022 about low level vision

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

efficientpytorch

A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

homepage

My personal homepage

iccv2023-papers-with-code

ICCV 2023 论文和开源项目合集

jornywan.github.io

learning-chess-blindfolded

ECE 6254 Final Project - Learning chess from language models

lorahub

The official repository of paper "LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition".

lsquantization

The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)

mixformerv2

MixFormerV2: Efficient Fully Transformer Tracking

mtg-jamendo-dataset

Metadata, scripts and baselines for the MTG-Jamendo dataset

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

noah

Searching prompt modules for parameter-efficient transfer learning.

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

sadtalker

[CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

segment-and-track-anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

test-time-augmentation

Code to reproduce experiments for "Better Aggregation in Test-Time Augmentation", ICCV 2021.

uninext

[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

vpt

Unofficial code for VPT(Visual Prompt Tuning) paper of arxiv 2203.12119