Path creation asset for Unity game development

Download audioset data super fastly with youtube-dl, ffmpeg and python multiprocessing

A toolkit for reproducible reinforcement learning research.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

In SADACO, we aim to provide : 1. unified framework for sound analysis as in Detectron2 for ODs, 2. Dataset Collections for Stethoscope data. Our goal is to be helpful for those who are in need of …

Modern React Portfolio Template (FREE)

PyTorch implementations of `BatchSampler` that under/over sample according to a chosen parameter alpha, in order to create a balanced training distribution.

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

Learn OpenCV : C++ and Python Examples

Code repository for GCT634/AI613 Musical Applications of Machine Learning (Fall 2020)

Code repository for GCT634/AI613 Musical Applications of Machine Learning (Fall 2020)

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

A scikit-learn compatible neural network library that wraps PyTorch

Code release for NeRF (Neural Radiance Fields)

Squeezenet V1.1 on Cyclone V SoC-FPGA at 450ms/image, 20x faster than ARM A9 processor alone. A project for 2017 Innovate FPGA design contest.

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

An Open-source FPGA IP Generator

This repository is no longer maintained.

This is the project page for veri dataset which is a large scale image dataset for vehicle re-identification in urban traffic surveillance.

Open Programmable Acceleration Engine

Example code for chapter 1

Easily deploy models to FPGAs for ultra-low latency with Azure Machine Learning powered by Project Brainwave

C++ Docker Client Using HTTP API

Accelerator-Docker : provides common interface for automatic passthrough of heterogeneous hardware accelerators in docker