7552 Open source projects that are alternatives of or similar to Nlp Models Tensorflow

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

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

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

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

Neural machine translator for English2German translation.

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

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

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Generating Dance steps for given music with deep learning

Convert TensorFlow models to ONNX

Bangla Machine Translator

This is a end to end Personalisation business scenario

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

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

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

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

📚 Text classification library with Keras

Application of machine learning to the Coinbase (GDAX) orderbook

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.

Natural Language Processing Tutorial for Deep Learning Researchers

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Some interesting TensorFlow tutorials for beginners.

List of papers, code and experiments using deep learning for time series forecasting

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Chatbot in 200 lines of code using TensorLayer

Sentiment Analysis with LSTMs in Tensorflow

Implementation of Neural Image Captioning model using Keras with Theano backend

QA - Answer Selection (Rank candidate answers for a given question)

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Another attempt to use Deep-Learning in the financial markets

keras를 이용한 딥러닝 기초 학습

LSTM-CRF for NER with ConLL-2002 dataset

All about Neural Networks!

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

Sorting numbers with pointer networks

the open-source virtual assistant for Ubuntu based Linux distributions

Stock Price Prediction using Machine Learning Techniques

A list of NLP(Natural Language Processing) tutorials

CNN for intent classification task in a Chatbot

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

document classification using LSTM + self attention

CNN, LSTM, NBOW, fasttext 中文文本分类

PyTorch tutorial for learners

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

A curated list of repositories for my book Machine Learning Solutions.

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

All my experiments with AI and ML

Datasets I have created for scientific summarization, and a trained BertSum model

Multi-turn dialogue baselines written in PyTorch

Machine learning, in numpy

BertQA - Attention on Steroids

Build a bot that speaks like you!