-
Updated
Jan 18, 2021 - Rust
#
transformers
Here are 411 public repositories matching this topic...
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
-
Updated
Jan 16, 2021 - Python
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
nlp
natural-language-processing
tutorial
sentiment-analysis
word-embeddings
transformers
cnn
pytorch
recurrent-neural-networks
lstm
rnn
fasttext
bert
sentiment-classification
pytorch-tutorial
pytorch-tutorials
cnn-text-classification
lstm-sentiment-analysis
pytorch-nlp
torchtext
-
Updated
Nov 16, 2020 - Jupyter Notebook
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
-
Updated
Jan 12, 2021 - Python
Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
-
Updated
Jan 18, 2021 - Python
State of the Art Natural Language Processing
nlp
natural-language-processing
spark
sentiment-analysis
tensorflow
machine-translation
transformers
language-detection
pyspark
named-entity-recognition
seq2seq
lemmatizer
spell-checker
albert
bert
part-of-speech-tagger
entity-extraction
spark-ml
xlnet
tf-hub-models
-
Updated
Jan 20, 2021 - Scala
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
-
Updated
Jan 19, 2021 - Python
中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
benchmark
tensorflow
nlu
glue
corpus
transformers
pytorch
dataset
chinese
pretrained-models
language-model
albert
bert
roberta
chineseglue
-
Updated
Nov 6, 2020 - Python
Super easy library for BERT based NLP models
-
Updated
Dec 17, 2020 - Python
Reformer, the efficient Transformer, in Pytorch
-
Updated
Dec 11, 2020 - Python
MLeap: Deploy Spark Pipelines to Production
-
Updated
Nov 23, 2020 - Scala
jiant is an NLP toolkit
-
Updated
Jan 20, 2021 - Python
自然语言处理、知识图谱、对话系统三大技术研究与应用。
-
Updated
Jan 3, 2021
bradennapier
commented
Mar 11, 2020
Hey! Thanks for the work on this.
Wondering how we can use this with mocha? tsconfig-paths has its own tsconfig-paths/register to make this work
https://github.com/dividab/tsconfig-paths#with-mocha-and-ts-node
Basically with mocha we have to run mocha -r ts-node/register -- but that wouldnt have the compiler flag.
Would be worthwhile to have the ability to do it which looks like
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.
-
Updated
Jan 16, 2021 - Python
This Word Does Not Exist
machine-learning
natural-language-processing
transformers
natural-language-generation
natural-language-understanding
gpt-2
-
Updated
Jan 12, 2021 - Python
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
nlp
machine-learning
topic
transformers
topic-modeling
bert
topic-models
sentence-embeddings
topic-modelling
ldavis
-
Updated
Jan 15, 2021 - Python
reinforcement-learning
deep-learning
transformers
pytorch
gan
neural-networks
deep-learning-tutorial
optimizers
lab-ml
-
Updated
Jan 20, 2021 - Python
nlp
natural-language-processing
information-retrieval
deep-learning
transformers
pytorch
artificial-intelligence
question-answering
reading-comprehension
bert
-
Updated
Apr 30, 2020 - Python
An implementation of Performer, a linear attention-based transformer, in Pytorch
-
Updated
Jan 17, 2021 - Python
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
nlp
text-classification
transformers
pytorch
multi-label-classification
albert
bert
fine-tuning
pytorch-implmention
xlnet
-
Updated
Jul 31, 2020 - Python
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
python
deep-learning
jupyter
transformers
pytorch
transformer
attention
deeplearning
attention-mechanism
attention-is-all-you-need
pytorch-transformers
pytorch-transformer
transformer-tutorial
original-transformer
-
Updated
Dec 27, 2020 - Jupyter Notebook
Github repo with tutorials to fine tune transformers for diff NLP tasks
nlp
natural-language-processing
deep-learning
transformers
pytorch
named-entity-recognition
classification
bert
pytorch-tutorial
t5
wandb
distilbert
-
Updated
Sep 7, 2020 - Jupyter Notebook
Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"
-
Updated
Dec 4, 2020 - Python
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
deep-learning
vietnamese
transformers
python3
named-entity-recognition
language-models
ner
natural-language-inference
bert
pos-tagging
vietnamese-nlp
nli
fairseq
vncorenlp
roberta
bert-embeddings
rdrsegmenter
part-of-speech-tagging
transformers-library
phobert
-
Updated
Dec 7, 2020
A collection of state-of-the-art models for Dependency Parsing, Constituency Parsing and Semantic Dependency Parsing.
transformers
pytorch
dependency-parsing
lbp
state-of-the-art
biaffine-parser
constituency-parsing
treecrf
semantic-dependency-parsing
mfvi
-
Updated
Jan 17, 2021 - Python
Huggingface Transformers + Adapters = ❤️
-
Updated
Jan 14, 2021 - Python
Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
python
machine-learning
deep-learning
neural-network
tensorflow
word2vec
vector
transformers
pytorch
embeddings
artificial-intelligence
video-processing
deeplearning
encodings
audio-processing
vector-similarity
tfhub
image2vec
-
Updated
Jan 20, 2021 - Python
Improve this page
Add a description, image, and links to the transformers topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the transformers topic, visit your repo's landing page and select "manage topics."



Problem
Since Java 8 was introduced there is no need to use Joda as it has been replaced the native Date-Time API.
Solution
Ideally greping and replacing the text should work (mostly)
Additional context
Need to check if de/serializing will still work.