Wangbo Zhao(明先生) (wangbo-zhao)

wangbo-zhao

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Location:China

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Wangbo Zhao(明先生)'s repositories

OpenMMLab-BoxInst

The code for OpenmmLab challenge.

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2022CVPR-MMMMTBVS

This is the code for CVPR2022 paper "Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation"

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2021TIP-SCG

The code for SCG: Saliency and Contour Guided Salient Instance Segmentation

Latte

The official implementation of Latte: Latent Diffusion Transformer for Video Generation.

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AOT

Associating Objects with Transformers for Video Object Segmentation

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aot-benchmark

An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch

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binsformer

Implementation of Binsformer code

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ColossalAI

Making big AI models cheaper, easier, and scalable

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DiffRate

[ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging techniques, while incorporating a differentiable compression rate.

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DiST

ICCV2023: Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning

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DRL

Deep Reinforcement Learning

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EfficientDM

[ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models"

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EVA

Exploring the Limits of Masked Visual Representation Learning at Scale (https://arxiv.org/abs/2211.07636)

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GenVIS

A Generalized Framework for Video Instance Segmentation

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langchain

⚡ Building applications with LLMs through composability ⚡

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MiniGPT-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

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mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

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mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

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opencompass

OpenCompass is an LLM evaluation platform, supporting evaluation of 20+ HuggingFace & API models (LLaMA, ChatGPT, Claude, etc) over 50+ datasets. It enables fast, comprehensive benchmarking of large models using efficient distributed evaluation techniques.

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Papers-Literature-ML-DL-RL-AI

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

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PixArt-alpha

Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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T-Stitch

Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stitching"

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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U-ViT

A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

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VAR

[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

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VITA

VITA: Video Instance Segmentation via Object Token Association (NeurIPS 2022)

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wangbo-zhao

Config files for my GitHub profile.

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X-Decoder

[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language

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