JulesBelveze
AI craftsman || Multi-lingual Natural Language Processing || MLOps & Machine Learning Engineer
AqemiaParis, France
Pinned Repositories
dust
Amplify your team's potential with customizable and secure AI assistants.
langtest
Deliver safe & effective language models
BERT-sequence-classifier
🤗 Dockerized BERT-Multi-Label-Classifier Inferer 🤗
bert-squeeze
🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
bundler
🕵🏻♂️ Explore your data for better labeling 🕵🏼
concepcy
💫 SpaCy wrapper for ConceptNet 💫
nhelper
🧪 Behavioral testing of NLP models 🧪
text-summarizer
Text Summarizer implemented in PyTorch
time-series-autoencoder
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
time-series-dataset
:wrench: Easy-to-use PyTorch Dataset object for multivariate time series :wrench:
JulesBelveze's Repositories
JulesBelveze/time-series-autoencoder
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
JulesBelveze/concepcy
💫 SpaCy wrapper for ConceptNet 💫
JulesBelveze/bert-squeeze
🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
JulesBelveze/time-series-dataset
:wrench: Easy-to-use PyTorch Dataset object for multivariate time series :wrench:
JulesBelveze/text-summarizer
Text Summarizer implemented in PyTorch
JulesBelveze/nhelper
🧪 Behavioral testing of NLP models 🧪
JulesBelveze/BERT-sequence-classifier
🤗 Dockerized BERT-Multi-Label-Classifier Inferer 🤗
JulesBelveze/bundler
🕵🏻♂️ Explore your data for better labeling 🕵🏼
JulesBelveze/eeg-classifier
🧠Quality assessor for EEG recordings 🧠
JulesBelveze/yelp-dataset-analysis
Business ranking regarding users' comments using Yelp dataset
JulesBelveze/FastBERT
对ACL2020 FastBERT论文的复现，论文地址:https://arxiv.org/pdf/2004.02178.pdf
JulesBelveze/JulesBelveze
JulesBelveze/pytorch-tutorial-computer-vision
Deep Learning for computer vision using PyTorch
JulesBelveze/wikipedia-pages-suggestion
Wikipedia pages suggester based on clusterization
JulesBelveze/tldr_news
JulesBelveze/bulk
JulesBelveze/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
JulesBelveze/dust
Amplify your team's potential with customizable and secure AI assistants.
JulesBelveze/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python