Pinned Repositories
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
awesome-mlops
A curated list of references for MLOps
BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
code
Compilation of R and Python programming codes on the Data Professor YouTube channel.
determined
Determined: Deep Learning Training Platform
mamba-tabular
Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks.
mesh-transformer-jax
Model parallel transformers in JAX and Haiku
openai-python
text-summarisation-project
A tutorial on how to set up a text summarisation project
TNTM
This repository contains the code for the Transformer-Representation Neural Topic Model (TNTM) based on the paper "Probabilistic Topic Modelling with Transformer Representations" by Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken and Thomas Kneib
ChrisW09's Repositories
ChrisW09/machine_learning_economics
Machine Learning for Economics
ChrisW09/12
ChrisW09/aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
ChrisW09/Book-Data-Analysis
ChrisW09/citi_bike_user_prediction
The Objective of this project is to predict the usertype (Customer = 24-hour pass or 3-day pass user; Subscriber = Annual Member) based on trip duration.
ChrisW09/keras-nlp
Industry-strength Natural Language Processing workflows with Keras
ChrisW09/Time-Series-Analysis-in-Sktime
This repository will hold all the code files (jupyter notebok) for the YouTube tutorial on sktime on datageekrj
ChrisW09/pycon2020
Natural Language Processing (NLP) in Python tutorial given for PyCon 2020 remote conference.
ChrisW09/Python-for-Beginners
Python Tutorials
ChrisW09/xgboostExplainer
An R package that makes xgboost models fully interpretable