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darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-coursera-1

Deep Learning Specialization by Andrew Ng on Coursera.

fpga_book_experiments

My completed projects from "FPGA Prototyping by Verilog Examples" book by Pong P. Chu

frugally-deep

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

h5_to_weight_yolo3

convert keras (tensorflow backend) yolov3 h5 model file to darknet yolov3 weights

hello-world

setting up my github account

high-level-synthesis-flow-on-zynq-using-vivado-hls

This course provides professors with an understanding of high-level synthesis design methodologies necessary to develop digital systems using Vivado HLS. Now under 2018.2 version.

hls4ml

Machine learning on FPGAs using HLS

hls4ml-tutorial

Tutorial notebooks for hls4ml

hwac_object_tracker

FPGA accelerated TinyYOLO v2 object detection neural network

introduction-to-github

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)

keras-yolov3-model-set

end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies

keras2cpp

This is a bunch of code to port Keras neural network model into pure C++.

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

mnist-cnn-in-keras

myhdl

The MyHDL development repository

nnabla-examples

Neural Network Libraries https://nnabla.org/ - Examples

openmv

OpenMV Camera Module

rt-mrcnn

Real time instance segmentation with Mask R-CNN, live from webcam feed.

sigtor

A project to artificially generate supplimentary object detection and segmentation dataset from an existing object detection or(and) segmentation datasets such as Pascal VOC or COCO dataset.

syndata-generation

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

yad2k

YAD2K: Yet Another Darknet 2 Keras

yolov2-keras

YOLOv2 keras for real-time object detection

yolov2-pytorch

yolov2_xilinx_fpga

A demo for accelerating YOLOv2 in xilinx's fpga pynq/zedboard

yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0