399 Open source projects that are alternatives of or similar to Hyperspectral Classification

Ergonomic machine learning for everyone.

Deep Learning on 身份证识别

Easy Real time gender age prediction from webcam video with Keras

Code for the IJCAI 2018 paper "R^3Net: Recurrent Residual Refinement Network for Saliency Detection"

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Machine Learning Toolkit for Extreme Scale (MaTEx)

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

Semantic Entity Retrieval Toolkit

Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

👋 ML/DL学习笔记（基础+论文）

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Pytorch Implementation of DeepLog.

Reference code for the paper "Learning Multi-Scale Photo Exposure Correction", CVPR 2021.

Deep neural network to extract intelligent information from invoice documents.

Learning human driver models from NGSIM data with imitation learning.

This is a repository for an object detection inference API using the Tensorflow framework.

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

SpecGAN - generate audio with adversarial training

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

DenseNet3D Model In "LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild", https://arxiv.org/abs/1810.06990

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

capsule networks that achieves outstanding performance on the German traffic sign dataset

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

Neural network base on c++14, support any number of layers 基于C++14元编程的深度学习神经网络模板类，支持任意层数

Weka package for the Deeplearning4j java library

An implementation of skip-thought vectors in Tensorflow

Learning Chinese Character style with conditional GAN

数据挖掘开源书

Training code for the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.

基于Andrew Ng DeepLearning.ai课程的学习笔记

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

基于深度学习的自动避障智能小车

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

Tutorials and my solutions to the Udacity NLP Nanodegree

PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Paper Reading

Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

Deep Learning--深度学习

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)

Deep Learning over PyTorch

[UNMAINTAINED] Automated machine learning for analytics & production

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

This is the open source project for RoboMaster 2018 contest from Southeast University

ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution

thor: C++ helper library, for deep learning purpose

Deep fake ready to train on any 2 pair dataset with higher resolution

ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

The state-of-art PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)