550 Open source projects that are alternatives of or similar to Ml5 Library

Unofficial PyTorch Reimplementation of RandAugment.

PyTorch implementation of PNASNet-5 on ImageNet

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Anomaly detection implemented in Keras

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

CRNN with attention to do OCR,add Chinese recognition

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Comparison of famous convolutional neural network models

🔥 Reproducibly benchmarking Keras and PyTorch models

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

A stock trading bot that uses machine learning to make price predictions.

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Keras tutorial for beginners (using TF backend)

🔬 Nano size Theano LSTM module

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Image Captioning using InceptionV3 and beam search

文本情感分析

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

CNN+LSTM+CTC based OCR implemented using tensorflow.

An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Neural Turing Machines (NTM) - PyTorch Implementation

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

A light-weight, power efficient, and general purpose convolutional neural network

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

A Harder ImageNet Test Set (CVPR 2021)

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

BCDU-Net : Medical Image Segmentation

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

OCR engine for all the languages

ImageNet pre-trained models with batch normalization for the Caffe framework

Segmentation models with pretrained backbones. PyTorch.

唐诗、宋词生成器，有详细说明

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

Corruption and Perturbation Robustness (ICLR 2019)

Sentence paraphrase generation at the sentence level

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Cryptocurrency Price Prediction Using LSTM neural network

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Train an LSTM to generate piano or violin/piano music.

Predict Cryptocurrency Price with Deep Learning

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.