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1. Convolution-Neural-Network-by-pyCUDA Convolution-Neural-Network-by-pyCUDA Public

   pyCUDA implementation of forward propagation for Convolutional Neural Networks

   Python 18 1

2. FPGA-Based-RNN-Accelerator-Using-Vivado-HLS FPGA-Based-RNN-Accelerator-Using-Vivado-HLS Public

   This is the first step to implement RNN on FPGAs. All modules are heavily commented. We will use High-Level Synthesis to turn these code into Hardware Description Languages (HDL).

   C++ 22 7

3. Contextualized-Word-Vectors Contextualized-Word-Vectors Public

   replicate ’Context Vectors‘ and implement it on Sentiment Analysis & Question Answering tasks

   Jupyter Notebook 1

4. VGG16_FPGA_Accelerator VGG16_FPGA_Accelerator Public

   A VGG accelerator by System Verilog on DE1-SoC FPGA. Row Stationary (RS) dataflow is adopted, and computations are based on fixed point 16 (fp16).

   C 30 10

5. fpgasystems/FPGA-Recommendation-Accelerator fpgasystems/FPGA-Recommendation-Accelerator Public

   MLSys 2021 paper: MicroRec: efficient recommendation inference by hardware and data structure solutions

   C++ 16 6

6. fpgasystems/GPU-FPGA-Recommendation-System fpgasystems/GPU-FPGA-Recommendation-System Public

   FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters

   C++ 16 4