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Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Blog / CMS using Laravel Framework - CMS Blog with full control panel functionality with users roles, Also API to retreive data.
Create one-to-one Chat System with Laravel
A real time private chat application using Laravel 9, Vue Js 3, Pusher and Laravel Echo
Angular 7/8/9 Application with PHP Back-End Example
You can run it on pynq z1. The repository contains the relevant Verilog code, Vivado configuration and C code for sdk testing. The size of the systolic array can be changed, now it is 16X16.
The 1st place winner's source codes for DAC 2018 System Design Contest, FPGA Track
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Brevitas: neural network quantization in PyTorch
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
fpgadeveloper / pynq-ncs-yolo
Forked from gudovskiy/yoloNCSYOLO object detector for Movidius Neural Compute Stick (NCS)
PyTorch wheels (whl) for ARM / armv7l, with vision, audio, text & csprng
FPGA accelerated TinyYOLO v2 object detection neural network
C++ trainable detection library based on libtorch (or pytorch c++). Yolov4 tiny provided now.
A LibTorch inference implementation of the yolov5
This is a code repository for pytorch c++ (or libtorch) tutorial.
C++ Implementation of PyTorch Tutorials for Everyone
Project is about designing a Trained Neural Network on FPGA to classify an Image Input using CNN.
Python on Zynq FPGA for Convolutional Neural Networks
FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)