6530 Open source projects that are alternatives of or similar to Very Deep Convolutional Networks For Natural Language Processing In Tensorflow

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

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

Music recommender using deep learning with Keras and TensorFlow

all kinds of text classification models and more with deep learning

Keras- Multi Label Image Classification

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

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

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Repo for Tang et al, bioRxiv 454793 (2018)

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

This toolbox is support material for the book on CNN (http://www.convolution.network).

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

Repository for most of the code from my YouTube channel

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

BERT for Multitask Learning

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Skin cancer classification using Inceptionv3

Build an OCR for iOS apps

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

TensorFlow Tutorials

tensorflow implementation of Grad-CAM (CNN visualization)

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Convolutional neural networks for artistic style transfer.

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

RMDL: Random Multimodel Deep Learning for Classification

Vehicle detection using YOLO in Keras runs at 21FPS

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

Keras tutorial for beginners (using TF backend)

Efficient Learning of Augmentation Policy Schedules

food image to recipe with deep convolutional neural networks.

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Evaluation of the CNN design choices performance on ImageNet-2012.

Text Mining in Python

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Exploratory Project on Fast Screen Space Global Illumination

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

Text classifier for Hierarchical Attention Networks for Document Classification

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Text Classification through CNN, RNN & HAN using Keras

The Python Code Tutorials

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Best Practices, code samples, and documentation for Computer Vision.

Binary Convolution Network for faster real-time processing in ASICs