803 Open source projects that are alternatives of or similar to Handwriting Generation

Augmenting word embeddings with their surrounding context using bidirectional RNN

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Anomaly detection for temporal data using LSTMs

Keras tutorial for beginners (using TF backend)

OCR engine for all the languages

Sarcasm detection on tweets using neural network

🥕 Evolutionary Neural Networks in JavaScript

Machine learning, in numpy

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

Deep learning driven jazz generation using Keras & Theano!

🔬 Nano size Theano LSTM module

Anomaly detection implemented in Keras

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

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

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

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

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Deep Learning Computer Vision Algorithms for Real-World Use

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

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

CNN+LSTM+CTC based OCR implemented using tensorflow.

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！

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

InceptionTime: Finding AlexNet for Time Series Classification

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。

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Grokking Deep Reinforcement Learning

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Python implementation of soft-DTW.

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

Segmentation models with pretrained backbones. PyTorch.

Mobile AI Compute Engine Model Zoo

Machine Learning Practical course repository

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

DEPRECATED: Depth Map Estimation from Monocular Images

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Image Captioning using InceptionV3 and beam search

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

Sentence paraphrase generation at the sentence level

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

High-quality implementations of standard and SOTA methods on a variety of tasks.

Tensors and differentiable operations (like TensorFlow) in Rust

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

Probabilistic reasoning and statistical analysis in TensorFlow

pytorch 包教不包会

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

A curated list of awesome Distributed Deep Learning resources.

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.

Brevitas: quantization-aware training in PyTorch

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

High-level batteries-included neural network training library for Pytorch

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

RLgraph: Modular computation graphs for deep reinforcement learning

BCDU-Net : Medical Image Segmentation