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Name: MIT HAN Lab
Type: Organization
Bio: Efficient AI Computing. PI: Song Han
Twitter: songhan_mit
Location: MIT
Blog: https://hanlab.mit.edu
Name: MIT HAN Lab
Type: Organization
Bio: Efficient AI Computing. PI: Song Han
Twitter: songhan_mit
Location: MIT
Blog: https://hanlab.mit.edu
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Binary Neural Network on IceStick FPGA.
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
[NeurIPS 2019] Deep Leakage From Gradients
Efficient 3D Deep Learning
EfficientViT is a new family of vision models for efficient high-resolution vision.
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
[CVPR'23] FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
[ICCAD'22 TinyML Contest] Efficient Heart Stroke Detection on Low-cost Microcontrollers
[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
[ICLR 2020] Lite Transformer with Long-Short Range Attention
[CVPR'22] Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
OpenMMLab Pose Estimation Toolbox and Benchmark.
[JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion
Offsite-Tuning: Transfer Learning without Full Model
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.