DerrickWang005
I'm a Ph.D student at Sydney AI Center, University of Sydney. My research interests include visual and multi-modal representation learning.
The University of SydneyBeijing, Sydney
Pinned Repositories
accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
AdvCo
APCNet
Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)
CRIS.pytorch
An official PyTorch implementation of the CRIS paper
DerrickWang005.github.io
LaVin-DiT
LaVin-DiT
MosRep.pytorch
Mosaic Representation Learning for Self-supervised Visual Pre-training (ICLR2023, Spotlight)
PixPro
SetSim.pytorch
Exploring Set Similarity for Dense Self-supervised Representation Learning (CVPR 2022)
Unpair-Seg.pytorch
Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.
DerrickWang005's Repositories
DerrickWang005/CRIS.pytorch
An official PyTorch implementation of the CRIS paper
DerrickWang005/Unpair-Seg.pytorch
Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.
DerrickWang005/MosRep.pytorch
Mosaic Representation Learning for Self-supervised Visual Pre-training (ICLR2023, Spotlight)
DerrickWang005/SetSim.pytorch
Exploring Set Similarity for Dense Self-supervised Representation Learning (CVPR 2022)
DerrickWang005/DerrickWang005.github.io
DerrickWang005/accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
DerrickWang005/amazon-sagemaker-immersion-day
DerrickWang005/CenterNet2
Two-stage CenterNet
DerrickWang005/cifar-10-100n
Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.
DerrickWang005/CSRA
Official code of ICCV2021 paper "Residual Attention: A Simple but Effective Method for Multi-Label Recognition"
DerrickWang005/DeCLIP
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
DerrickWang005/deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
DerrickWang005/diffusion-forcing
code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"
DerrickWang005/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
DerrickWang005/IDEAL
DerrickWang005/lmdeploy
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
DerrickWang005/MIMDet
MIMDet: Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection
DerrickWang005/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
DerrickWang005/mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
DerrickWang005/moco-v3
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
DerrickWang005/open_clip
An open source implementation of CLIP.
DerrickWang005/PES
DerrickWang005/pillar-motion
Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)
DerrickWang005/Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
DerrickWang005/pytorch-ddp-examples
DerrickWang005/pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
DerrickWang005/ReLA
DerrickWang005/SA-1B-Downloader
Simple script to parallelize download and extract files for SA-1B Dataset.
DerrickWang005/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
DerrickWang005/vector-quantize-pytorch
Vector Quantization, in Pytorch