Popular GitHub Repositories for Average Perceptron

Plain python implementations of basic machine learning algorithms

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

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch

Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch

Simple machine learning library / 簡單易用的機器學習套件

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Fake Image Detection Using Machine Learning

A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.

Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

A single / multi layer / recurrent neural network written in Golang.

Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis (IEEE MLSP 2021)

Basic Machine Learning implementation with python

In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone

[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

Final Project of the Udacity AI Programming with Python Nanodegree