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2018-dac-system-design-contest

awesome-federated-learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

bdf

Avnet Board Definition Files

car_detection

example1

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

coursera-gdrive

This repository is helpful for downloading all enrolled courses in Coursera into Google Drive via Google Colab

cs-dlp

Script for downloading Coursera.org videos and naming them.

dac2018-tgiif

The 1st place winner's source codes for DAC 2018 System Design Contest, FPGA Track

dac_sdc_2020

DAC System Design Contest 2020

darknet

Convolutional Neural Networks

deep-compression

Compress neural network with pruning and quantization using TensorFlow.

deep-compression-alexnet

Deep Compression on AlexNet

fedml

FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).

frugally-deep

Header-only library for using Keras models in C++.

ismartdnn

Light-weighted neural network inference for object detection on small-scale FPGA board

keras

Deep Learning for humans

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

machine-learning-specialization-coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mobilenet

Implementation of MobileNet v1, v2, v3

mobilenet_v3_keras

mobilenetv3_vs_v2

Benchmark MobileNet V3 vs V2.

movidius-face

netron

Visualizer for neural network, deep learning, and machine learning models

objectdetectionyolo

pynq

Python Productivity for ZYNQ

pynq-classification

Python on Zynq FPGA for Convolutional Neural Networks

pynq-project

PYNQ, Neural network Language model, Overlay