378 Open source projects that are alternatives of or similar to Protein Sequence Embedding Iclr2019

An opensource speech-to-text software written in tensorflow

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News summarization using sequence to sequence model with attention in TensorFlow.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

bert as language model, fork from https://github.com/google-research/bert

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A curated list of pretrained sentence and word embedding models

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

BERT-based Multilingual Model for Indian Languages

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

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

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

R interface to the keras library

XLNet for generating language.

A C++ library providing fast language model queries in compressed space.

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TensorFlow GAN implementation using Gumbel Softmax

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

Get protein embeddings from protein sequences

Library to scrape and clean web pages to create massive datasets.

Biologically-realistic recurrent convolutional neural networks

Learning the Enigma with Recurrent Neural Networks

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

keras project that parses and analyze english resumes

Some of the ML and DL related reading materials, research papers that I've read

Plain Stock Close-Price Prediction via Graves LSTM RNNs

Implementation of Simple Recurrent Unit in Keras

[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

Anomaly detection for temporal data using LSTMs

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

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

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

Keras implementation of Legendre Memory Units

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

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

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

HDLTex: Hierarchical Deep Learning for Text Classification

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

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Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

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

PyTorch Implementation of OpenAI GPT-2

Implementation of Dynamic memory networks plus in Pytorch

Application of machine learning to the Coinbase (GDAX) orderbook

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language model in Chinese，基于Pytorch官方文档实现

How to build RNNs and LSTMs from scratch with NumPy.

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

A Neural Networking library based on NumPy only

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

A collaborative collection of open-source safe GPT-3 prompts that work well