Maheshwari Natarajan's repositories
Accelerating-CNN-with-FPGA
This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.
Alveo-PYNQ
Introductory examples for using PYNQ with Alveo
audio
Data manipulation and transformation for audio signal processing, powered by PyTorch
benchmark
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
blinky
Example LED blinking project for your FPGA dev board of choice
brevitas
Quantization-aware training in Pytorch
metrics
Machine learning metrics for distributed, scalable PyTorch applications.
examples-1
TensorFlow examples
FFmpeg
Mirror of git://source.ffmpeg.org/ffmpeg.git
FPGA-Devcloud
Get started using Intel® FPGA tools on the Devcloud with tutorials, workshops, advanced courses, and sample projects built specifically for students, researchers, and developers. Visit our official Intel® FPGA Devcloud website:
mlir
"Multi-Level Intermediate Representation" Compiler Infrastructure
netron
Visualizer for neural network, deep learning, and machine learning models
OLive
OLive, meaning ONNX Runtime(ORT) Go Live, is a python package that automates the process of accelerating models with ONNX Runtime(ORT). It contains two parts including model conversion to ONNX with correctness checking and auto performance tuning with ORT. Users can run these two together through a single pipeline or run them independently as needed.
oneAPI-samples
Samples for Intel oneAPI toolkits
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
open_model_zoo
Pre-trained Deep Learning models and samples (high quality and extremely fast)
OpenVINO-Custom-Layers
Tutorial for Using Custom Layers with OpenVINO (Intel Deep Learning Toolkit)
optimum
🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools
PYNQ-experiment
This repository contains a "Hello World" introduction application to the Xilinx PYNQ framework.
pytorch_quantization
Pytorch Model Quantization, Layer Fusion and Optimization
SDAccel_Examples
SDAccel Examples
spooNN
FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)
Vitis_Accel_Examples
Vitis_Accel_Examples
Vitis_Libraries
Vitis Libraries