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1. jha-lab/acceltran jha-lab/acceltran Public

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

   Python 58 10

2. cnn_txf_bias cnn_txf_bias Public

   [CogSci'21] Study of human inductive biases in CNNs and Transformers.

   Jupyter Notebook 43 3

3. jha-lab/codebench jha-lab/codebench Public

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

   Verilog 21 3

4. jha-lab/txf_design-space jha-lab/txf_design-space Public

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

   Python 9 1

5. HS-Optimization-with-AI/Apex HS-Optimization-with-AI/Apex Public

   Adaptive Ext4 for data recovery optimisation using reinforcement learning .

   C 4

6. huggingface/transformers huggingface/transformers Public

   Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

   Python 158k 32.5k