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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

bert

TensorFlow code and pre-trained models for BERT

bert-pytorch

Google AI 2018 BERT pytorch implementation

bitfusion_other

Simulator for BitFusion

deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

dnnweaver2-original

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

dramsim2

DRAMSim2: A cycle accurate DRAM simulator

dramsim3

DRAMsim3: a Cycle-accurate, Thermal-Capable DRAM Simulator

i-bert

[ICML'21 Oral] I-BERT: Integer-only BERT Quantization

mnpusim

mNPUsim: A Cycle-accurate Multi-core NPU Simulator (IISWC 2023)

planaria.code

ryzenai-sw

sigma

RTL implementation of Flex-DPE.

testchipip

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

verilog-axi

Verilog AXI components for FPGA implementation