757 Open source projects that are alternatives of or similar to Relational Rnn Pytorch

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

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

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

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

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

The efficient and elegant JSON:API 1.1 server library for PHP

Language Modeling

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

Transformer language model (GPT-2) with sentencepiece tokenizer

Easy to use NLP library built on PyTorch and TorchText

Layer-wise Relevance Propagation (LRP) for LSTMs

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

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

A curated list of pretrained sentence and word embedding models

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

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

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Transformers for Longer Sequences

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

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

[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Transformer implementation in PyTorch.

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

集成了Tensorflow 2版本的端到端语音识别模型，并且RTF(实时率)在0.1左右/Mandarin State-of-the-art Automatic Speech Recognition in Tensorflow 2

Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。

Learning the Enigma with Recurrent Neural Networks

Optimus: the first large-scale pre-trained VAE language model

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

Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Anomaly detection for temporal data using LSTMs

A tensorflow implementation of "Generating Sentences from a Continuous Space"

Population Based Training (in PyTorch with sqlite3). Status: Unsupported

Transformer based on a variant of attention that is linear complexity in respect to sequence length

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Plain Stock Close-Price Prediction via Graves LSTM RNNs

Julia Implementation of Transformer models

Tensorflow Implementation of Visual Interaction Networks

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

End-to-End Automatic Speech Recognition on PyTorch

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

Character-based word embeddings model based on RNN for handling real world texts

Spying using Smartwatch and Deep Learning

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

Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

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

OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0

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

ECG classification programs based on ML/DL methods

Revisiting Pre-trained Models for Chinese Natural Language Processing (Findings of EMNLP)

🔥 Korean GPT-2, KoGPT2 FineTuning cased. 한국어 가사 데이터 학습 🔥

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

pytorch implementation of Attention is all you need