TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

Advanced and Fast Data Transformation in R

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

Convert trained PyTorch models to Keras, and the other way around

An easy neural network for Java!

Aubo i5 Dual Arm Collaborative Robot - RealSense D435 - 3D Object Pose Estimation - ROS

YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving

Weighted random selector for Unity.

Java 实现的 Android 原生圆角矩形控件，圆角 FrameLayout 和圆角 ImageView

🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍

带动画的饼图

Fire and Gun detection using yolov3 in videos as well as images. Training code, dataset and trained weight file available.

Keras callback function for stochastic weight averaging

SE_ResNet && SE_ResNeXt with pretrained weights on ImageNet (SENet In TensorFlow)

Simple and fast histogramming in Python accelerated with OpenMP.

Utilities for building and using the CEM dataset for unsupervised pre-training and downstream tasks.

刻度盘

A simple open domain generative based chatbot based on Recurrent Neural Networks

Very basic neural network implementation.

VGG16 architecture with BatchNorm

RIM iterative raking algorithm for people data

Module to convert units for distances, weights and temperatures!

Xception V1 model in Tensorflow with pretrained weights on ImageNet

Powerful 'SAS' Inspired Concepts for more Efficient Bigger Outputs

An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.

Tacotron2 Persian Text-to-Speech Model trained on ManaTTS, the largest open single-speaker Persian speech dataset with over 114 hours of high-quality audio.

Bees CNN Algorithm (A Fuzzy Evolutionary Deep Learning)

This repository is for profiling, extracting, visualizing and reusing generative AI weights to hopefully build more accurate AI models and audit/scan weights at rest to identify knowledge domains for risk(s).

Calculate weight factors for survey data to approximate a representative sample

Tune weights manually.