785 Open source projects that are alternatives of or similar to Captcharecognition

CNN, LSTM, NBOW, fasttext 中文文本分类

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

Natural Language Processing with TensorFlow, published by Packt

PyTorch tutorial for learners

Sentence Classifications with Neural Networks

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

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Tensorflow implementation of attention mechanism for text classification tasks.

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

基于卷积神经网络的语音识别声学模型的研究

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

A Tensorfflow implementation of Attend, Infer, Repeat

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Collection of custom layers and utility functions for Keras which are missing in the main framework.

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Code for Tensorflow Machine Learning Cookbook

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

The Official Deep Learning Framework for Route-based Place Recognition

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

Deep learning codes and projects using Python

코딩셰프의 3분 딥러닝, 케라스맛

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Datasets, tools, and benchmarks for representation learning of code.

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

Efficient, transparent deep learning in hundreds of lines of code.

Enhanced BiLSTM Inference Model for Natural Language Inference

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

My Attempt(s) In The World Of ML/DL....

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

A deep learning library to provide algs in pure Numpy or Tensorflow.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

RMDL: Random Multimodel Deep Learning for Classification

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

深度学习入门教程, 优秀文章, Deep Learning Tutorial

CNN-RNN中文文本分类，基于TensorFlow

Implementation of papers for text classification task on DBpedia

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Data augmentation for NLP, presented at EMNLP 2019

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。

All about Neural Networks!

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

论文“Attention-over-Attention Neural Networks for Reading Comprehension”中AoA模型实现

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Hierarchical Attention Networks for Chinese Sentiment Classification

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

Deepfakes Video classification via CNN, LSTM, C3D and triplets

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.