Stars
Deployment of PyTorch chatbot with Flask
Bonus materials, exercises, and example projects for our Python tutorials
Code for modelling estimated deaths and cases for COVID19.
Replication of ECG Heartbeat Classification: A Deep TransferableRepresentation
Startups about artificial intelligence. (DM, ML, NLP, CV...)
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
NLPCC 2019 Outstanding Paper "Improving Transformer with Sequential Context Representations for Abstractive Text Summarization" source code
Preparing a dataset for TensorFlow text summarization (TextSum) model.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
XLNet: Generalized Autoregressive Pretraining for Language Understanding
A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)
Abstractive summarisation using Bert as encoder and Transformer Decoder
Code for the paper Fine-Tuning Language Models from Human Preferences
Generating paper titles (and more!) with GPT trained on data scraped from arXiv.
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Library to make it easier for JavaScript apps to store and retrieve data using the QuantiModo API.
Shortcodes to embed graphs and connectors on any WP page.
A generic app that can be easily configured to help the user track and optimize any given outcome variable.
Project for the course "Optimization for Data Science" - Optimization strategies for anomaly detection with One class Support Vector Machines (OCSVM)
One-class classification in the absence of test data.
Jupyter Notebook presentation for class imbalance in binary classification
anomaly detection by one-class SVM
Minimal landing page for developers
