823 Open source projects that are alternatives of or similar to Deepconvsep

Multi-view CNN (MVCNN) for shape recognition

Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)

Control in C++

Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond

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

Differentiable Data Augmentation Library

We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.

NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

yolo(all versions) implementation in keras and tensorflow 2.4

openFrameworks wrapper for the RapidLib machine learning library

A treasure chest for image classification powered by PaddlePaddle

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

A time series signal analysis and classification framework

A unique time series library in Python that consists of Kalman filters (discrete, extended, and unscented), online ARIMA, and time difference model.

Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

Simple and comprehensive tutorials in TensorFlow

一键中文数据增强包 ； NLP数据增强、bert数据增强、EDA：pip install nlpcda

Computes the Savitzky-Golay Filter coefficients.

Implementation of the mixup training method

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

Social Signal Processing for Android

Medical image registration using deep learning

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

A modern deep learning framework built to accelerate research and development of AI systems

AntroPy: entropy and complexity of (EEG) time-series in Python

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Convolutional neural networks for artistic style transfer.

CNN for Chinese Text Classification in Tensorflow

Feature extraction of speech signal is the initial stage of any speech recognition system.

TensorFlow Tutorials

Graph Signal Processing in Python

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

深度学习相关代码

Topic-Aware Convolutional Neural Networks for Extreme Summarization

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

This is a Tensorflow implementations of paper "Deep Alignment Network: A convolutional neural network for robust face alignment".

python speech signal processing library

A generalized gradient-based CNN visualization technique

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

NEURAL: a neonatal EEG feature set in Matlab

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

Keras- Multi Label Image Classification

[Medical Image Analysis] Adversarial Data Augmentation with Chained Transformations (AdvChain)

A Python library aimed at acousticians.

Topographic edge detection of fault scarps and other landforms in digital elevation data

Theano implementation of Sequence-to-Sequence Autoencoder

Simulates an FBMC and OFDM transmission over a doubly-selective channel. Allows to reproduce all figures from "Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems", IEEE VTC Fall, 2018

Data generator command-line tool and library. Create JSON, CSV, XML data from templates.

Collection of auditory models.

gr-eventstream is a set of GNU Radio blocks for creating precisely timed events and either inserting them into, or extracting them from normal data-streams precisely. It allows for the definition of high speed time-synchronous c++ burst event handlers, as well as bridging to standard GNU Radio Async PDU messages with precise timing easily.

A fast MDCT implementation using SciPy and FFTs