382 Open source projects that are alternatives of or similar to Optimus

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

Presenting Collection of Pretrained Models. Links to pretrained models in NLP and voice.

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

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

A curated list of pretrained sentence and word embedding models

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

An open source implementation of CLIP.

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

A fast, high-quality neural vocoder.

Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

An opensource speech-to-text software written in tensorflow

High-quality Neural Networks for Computer Vision 😎

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

LSTM and QRNN Language Model Toolkit for PyTorch

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Pretrained is the most complete and frequently updated list of pretrained top-performing models. Tensorflow, Theano and others. Want to add your model? File an issue, and we will add it.

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

BERT-based Multilingual Model for Indian Languages

Language Modeling

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

A TensorFlow implementation of the Mnemonic Descent Method.

🔍 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.

Blend beats using machine learning to create music in a fun new way.

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

Semantic text segmentation. For sentence boundary detection, compound splitting and more.

Transformer language model (GPT-2) with sentencepiece tokenizer

Tensorflow implementation of conditional variational auto-encoder for MNIST

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

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

Breast density classification with deep convolutional neural networks

An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.

Deep Learning sample programs using PyTorch in C++

Generic Foreground Segmentation in Images

Variational Auto-Encoders in a Sequential Setting.

Load GPT-2 checkpoint and generate texts

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

Implementation of XLNet that can load pretrained checkpoints

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

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

Implementation of Dynamic memory networks plus in Pytorch

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

A Dutch RoBERTa-based language model

A Collection of Variational Autoencoders (VAE) in PyTorch.

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

Named Entity Recognition with BERT using TensorFlow 2.0

Motion Fused Frames implementation in PyTorch, codes and pretrained models.

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

package lingo provides the data structures and algorithms required for natural language processing

XLNet for generating language.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Natural language detection package in pure Go

Machine learning, in numpy

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

Pre-Trained Models for ToD-BERT

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Sandbox for training deep learning networks

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