1655 Open source projects that are alternatives of or similar to Emnist

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

A curated list of dedicated resources and applications

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

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

Deep-Learning Model Exploration and Development for NLP

R interface to the keras library

ECG classification programs based on ML/DL methods

keras project that parses and analyze english resumes

Deep learning codes and projects using Python

This is an open sourced book on deep learning.

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Text Classification Algorithms: A Survey

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

PyTorch tutorial for learners

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

HDLTex: Hierarchical Deep Learning for Text Classification

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

The Pytorch Implementation of L-Softmax

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.

Anomaly detection implemented in Keras

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

Implementation of State-of-the-art Text Classification Models in Pytorch

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

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

Image Captioning: Implementing the Neural Image Caption Generator with python

Biologically-realistic recurrent convolutional neural networks

A MNIST-like fashion product database. Benchmark 👇

videos, lectures, blogs for Deep Learning

Machine Reading Comprehension in Tensorflow

A Neural Networking library based on NumPy only

Top 200 deep learning Github repositories sorted by the number of stars.

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

The Official Deep Learning Framework for Route-based Place Recognition

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

TensorFlow Tutorials

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Simple and comprehensive tutorials in TensorFlow

RMDL: Random Multimodel Deep Learning for Classification

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

VIP cheatsheets for Stanford's CS 230 Deep Learning

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

TensorFlow and Deep Learning Tutorials

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Text classifier for Hierarchical Attention Networks for Document Classification

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

Deep learning for price movement prediction using high frequency limit order data

自学入门 Python 优质中文资源索引，包含 书籍 / 文档 / 视频，适用于 爬虫 / Web / 数据分析 / 机器学习 方向

Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

Keras implementation of a CNN network for age and gender estimation

web

[Deprecated] A markdown online-editable-resume with pdf generator