JHA Lab

acceltran

[TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers

boshnas

[JAIR'23] BOSHNAS tool for efficient neural architecture search.

cnn_design-space

[TECS'23] CNNBench tool for generation and evaluation of CNN architectures.

codebench

[TECS'23] A project on the co-design of Accelerators and CNNs.

dini

[Nature-SR'22] DINI: Data Imputation using Neural Inversion

edgetran

[TMC'23] EdgeTran: Device-Aware Co-Search of Transformers and Mobile Platforms

impromptu

Code and dataset repository for Im-Promptu: In-Context Composition from Image Prompts

scout

[ACM Health 2023] ScouT: Synthetic Counterfactuals via Spatiotemporal Transformers for Actionable Healthcare

transcode

[TCAD'23] TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference

txf_design-space

[JAIR'23] FlexiBERT tool for Transformer design space exploration.

jha-lab/acceltran

[TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers

jha-lab/codebench

[TECS'23] A project on the co-design of Accelerators and CNNs.

jha-lab/txf_design-space

[JAIR'23] FlexiBERT tool for Transformer design space exploration.

jha-lab/cnn_design-space

[TECS'23] CNNBench tool for generation and evaluation of CNN architectures.

jha-lab/transcode

[TCAD'23] TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference

jha-lab/boshnas

[JAIR'23] BOSHNAS tool for efficient neural architecture search.

jha-lab/impromptu

Code and dataset repository for Im-Promptu: In-Context Composition from Image Prompts

jha-lab/edgetran

[TMC'23] EdgeTran: Device-Aware Co-Search of Transformers and Mobile Platforms

jha-lab/dini

[Nature-SR'22] DINI: Data Imputation using Neural Inversion

jha-lab/ece364_2023

jha-lab/scout

[ACM Health 2023] ScouT: Synthetic Counterfactuals via Spatiotemporal Transformers for Actionable Healthcare

jha-lab/secrets

jha-lab/zerotprune

jha-lab/ctrl

jha-lab/protran

[TMC'23] ProTran: Profiling the Energy of Transformers on Embedded Platforms