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Projects in Awesome Lists by mit-han-lab
A curated list of projects in awesome lists by mit-han-lab .
https://github.com/mit-han-lab/streaming-llm
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
Last synced: 30 Jul 2024
https://github.com/mit-han-lab/bevfusion
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
3d-perception camera lidar object-detection pytorch semantic-segmentation sensor-fusion
Last synced: 31 Jul 2024
https://github.com/mit-han-lab/llm-awq
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Last synced: 30 Jul 2024
https://github.com/mit-han-lab/temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
acceleration efficient-model low-latency nvidia-jetson-nano temporal-modeling tsm video-understanding
Last synced: 02 Aug 2024
https://github.com/mit-han-lab/once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
acceleration automl edge-ai efficient-model nas tinyml
Last synced: 31 Jul 2024
https://github.com/mit-han-lab/efficientvit
EfficientViT is a new family of vision models for efficient high-resolution vision.
efficientvit high-resolution imagenet segment-anything segmentation vision-transformer
Last synced: 31 Jul 2024
https://github.com/MIT-HAN-LAB/ProxylessNAS
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
acceleration automl efficient-model hardware-aware on-device-ai specialization
Last synced: 31 Jul 2024
https://github.com/mit-han-lab/ProxylessNAS
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
acceleration automl efficient-model hardware-aware on-device-ai specialization
Last synced: 31 Jul 2024
https://github.com/mit-han-lab/data-efficient-gans
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
data-efficient gans generative-adversarial-network image-generation neurips-2020 pytorch tensorflow
Last synced: 01 Aug 2024
https://github.com/mit-han-lab/torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
deep-learning machine-learning ml-for-systems neural-network parameterized-quantum-circuit pytorch pytorch-quantum quantum quantum-computing quantum-machine-learning quantum-neural-network quantum-simulation system
Last synced: 03 Aug 2024
https://github.com/mit-han-lab/torchsparse
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
Last synced: 31 Jul 2024
https://github.com/mit-han-lab/smoothquant
[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Last synced: 03 Aug 2024
https://github.com/mit-han-lab/tinyengine
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
c codegenerator cpp deep-learning edge-computing microcontroller neural-architecture-search pytorch quantization tinyml
Last synced: 31 Jul 2024
https://github.com/mit-han-lab/TinyChatEngine
TinyChatEngine: On-Device LLM Inference Library
arm c cpp cuda-programming deep-learning edge-computing large-language-models on-device-ai quantization x86-64
Last synced: 03 Aug 2024
https://github.com/mit-han-lab/pvcnn
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
frustum-pointnet frustum-pointnets kitti point-cloud point-voxel-cnn pointnet pointnet2 pvcnn pytorch s3dis shapenet
Last synced: 31 Jul 2024
https://github.com/mit-han-lab/fastcomposer
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
Last synced: 31 Jul 2024
https://github.com/mit-han-lab/lite-transformer
[ICLR 2020] Lite Transformer with Long-Short Range Attention
Last synced: 03 Aug 2024
https://github.com/mit-han-lab/spvnas
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
3d-deep-learning architecture-search computer-vision deep-learning efficiency lidar point-cloud pytorch semantickitti
Last synced: 31 Jul 2024
https://github.com/mit-han-lab/distrifuser
[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
acceleration diffusion-models generative-ai generative-model parallelism
Last synced: 31 Jul 2024
https://github.com/mit-han-lab/mcunet
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
deep-learning microncontroller neural-architecture-search pytorch tinyml
Last synced: 31 Jul 2024
https://github.com/mit-han-lab/tiny-training
On-Device Training Under 256KB Memory [NeurIPS'22]
edge-ai learning-on-the-edge on-device-training
Last synced: 31 Jul 2024
https://github.com/mit-han-lab/offsite-tuning
Offsite-Tuning: Transfer Learning without Full Model
deep-learning transfer-learning
Last synced: 01 Aug 2024
https://github.com/mit-han-lab/haq
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
automl efficient-model mixed-precision quantization
Last synced: 31 Jul 2024
https://github.com/mit-han-lab/hardware-aware-transformers
[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
efficient-model hardware-aware machine-translation natural-language-processing specialization transformer
Last synced: 03 Aug 2024
https://github.com/mit-han-lab/litepose
[CVPR'22] Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
efficient-models litepose pose-estimation
Last synced: 03 Aug 2024