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

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

Electra pre-trained model using Vietnamese corpus

End-to-end ASR/LM implementation with PyTorch

PyTorch Implementation of OpenAI GPT-2

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

Deep-Learning Model Exploration and Development for NLP

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

Implementation of State-of-the-art Text Classification Models in Pytorch

NLP Paper

Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.

Quantize weights and activations in Recurrent Neural Networks.

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

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

Indonesian Language Models and its Usage

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

GPT-2 French demo | Démo française de GPT-2

Google AI 2018 BERT pytorch implementation

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

[ACL‘20] Highway Transformer: A Gated Transformer.

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

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

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

keras project that parses and analyze english resumes

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

🧑‍🏫 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, ... 🧠

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

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

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.

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

Easy to use NLP library built on PyTorch and TorchText

TensorFlow Tutorials

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

HDLTex: Hierarchical Deep Learning for Text Classification

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

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

Transformer for Graph Classification (Pytorch and Tensorflow)

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

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.

中文预训练XLNet模型: Pre-Trained Chinese XLNet_Large

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

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

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

a sklearn wrapper for Google's BERT model

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

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。

2018-JDDC大赛第4名的解决方案

transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Transformer for Free-Hand Sketch Recognition"

The Noise Contrastive Estimation for softmax output written in Pytorch

Transformer-based image captioning extension for pytorch/fairseq

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

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

Understanding the Difficulty of Training Transformers

Anomaly detection for temporal data using LSTMs

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

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