pzzhang

VinVL

project page for VinVL

tsvviewer

visualize vision and vision-language data in tsv format

Intrinsic-sparse-mode-decomposition

Matlab code for the paper: https://arxiv.org/pdf/1607.00702.pdf

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

sasa

Statistical Adaptive Stochastic Optimization

ASL

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

AttnGAN

ContrastiveLosses4VRD

Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Generation"

EgoVLP

[Arxiv2022] Egocentric Video-Language Pretraining

Empyrial

Portfolio Management Framework for risk and performance analysis 投资组合管理

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

levenshtein_transformer

PyTorch implementation of Levenshtein Transformer

longformer

Longformer: The Long-Document Transformer

MiniGPT-4

Open-sourced codes for MiniGPT-4 and MiniGPT-v2

MyEmpyrial

netron

Visualizer for neural network, deep learning and machine learning models

neural-motifs

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

Oscar

Oscar and VinVL

pzzhang

A beautiful, simple, clean, and responsive Jekyll theme for academics

pzzhang.github.io

robust-verify-benchmark

Benchmark for LP-relaxed robustness verification of ReLU-networks

SceneGraphParser_SpaCy

A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).

smoothing-adversarial

Code for our NeurIPS 2019 spotlight "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

stable-diffusion-webui

Stable Diffusion web UI

Swin-Transformer

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

understanding-momentum

Code for the paper "Understanding the Role of Momentum in Stochastic Gradient Methods"

VILLA

Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part

ViP-LLaVA

[CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts

xrda-sparse-training