bohanzhuang

Attend-in-Groups-a-Weakly-supervised-Deep-Learning-Framework-for-Learning-from-Web-Data

Attend in Groups: a Weakly-supervised Deep Learning Framework for Learning from Web Data

bohanzhuang.github.io

DoReFa-Net-implementation

Fast-Training-of-Triplet-based-Deep-Binary-Embedding-Networks

Fast-Training-of-Triplet-based-Deep-Binary-Embedding-Networks

Group-Net-image-classification

Structured Binary Neural Networks for Image Recognition

Group-Net-semantic-segmentation

Structured Binary Neural Networks for Image Recognition

HCVRD-a-benchmark-for-large-scale-Human-Centered-Visual-Relationship-Detection

HCVRD: a benchmark for large-scale Human-Centered Visual Relationship Detection

Parallel-Attention-A-Unified-Framework-for-Visual-Object-Discovery-through-Dialogs-and-Queries

Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries

Towards-Context-aware-Interaction-Recognition-for-Visual-Relationship-Detection

Towards Context-aware Interaction Recognition for Visual Relationship Detection

Towards-Effective-Low-bitwidth-Convolutional-Neural-Networks

This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"

bohanzhuang/Towards-Effective-Low-bitwidth-Convolutional-Neural-Networks

This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"

bohanzhuang/Group-Net-image-classification

Structured Binary Neural Networks for Image Recognition

bohanzhuang/Group-Net-semantic-segmentation

Structured Binary Neural Networks for Image Recognition

bohanzhuang/Fast-Training-of-Triplet-based-Deep-Binary-Embedding-Networks

Fast-Training-of-Triplet-based-Deep-Binary-Embedding-Networks

bohanzhuang/Parallel-Attention-A-Unified-Framework-for-Visual-Object-Discovery-through-Dialogs-and-Queries

Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries

bohanzhuang/Attend-in-Groups-a-Weakly-supervised-Deep-Learning-Framework-for-Learning-from-Web-Data

Attend in Groups: a Weakly-supervised Deep Learning Framework for Learning from Web Data

bohanzhuang/bohanzhuang.github.io

bohanzhuang/DoReFa-Net-implementation

bohanzhuang/model-quantization

Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)

bohanzhuang/role-kd

Role-Wise Data Augmentation for Knowledge Distillation

bohanzhuang/GDFQ

official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)

bohanzhuang/Visual-Tracking-via-Discriminative-Sparse-Similarity-Map

Visual Tracking via Discriminative Sparse Similarity Map

bohanzhuang/arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

bohanzhuang/autogluon

AutoGluon: AutoML Toolkit for Deep Learning

bohanzhuang/Awesome-Transformer-Attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

bohanzhuang/bitsandbytes

Accessible large language models via k-bit quantization for PyTorch.

bohanzhuang/cshizhe.github.io

Shizhe's homepage https://cshizhe.github.io/

bohanzhuang/fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

bohanzhuang/flashinfer

FlashInfer: Kernel Library for LLM Serving

bohanzhuang/Grounded-Segment-Anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Speech Inputs

bohanzhuang/incubator-tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

bohanzhuang/intel-extension-for-transformers

⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡

bohanzhuang/jekyll

:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby

bohanzhuang/jina

☁️ Build multimodal AI applications with cloud-native stack

bohanzhuang/MiniCPM-V

MiniCPM-Llama3-V 2.5: A GPT-4V Level Multimodal LLM on Your Phone

bohanzhuang/mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

bohanzhuang/pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

bohanzhuang/SAQ

This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".

bohanzhuang/T-Stitch

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

bohanzhuang/TinyLlama

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.