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/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
ChrisW09/awesome-mlops
A curated list of references for MLOps
ChrisW09/determined
Determined: Deep Learning Training Platform
ChrisW09/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
ChrisW09/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ChrisW09/mesh-transformer-jax
Model parallel transformers in JAX and Haiku
ChrisW09/fastbook
The fastai book, published as Jupyter Notebooks
ChrisW09/gensim
Topic Modelling for Humans
ChrisW09/great_expectations
Always know what to expect from your data.
ChrisW09/NAM-Ensemble-Model
Combining Neural Additive Models with Convolutional Neural Networks to predict prices of AirBnB accomodations. (Co-Author: Jonathan Mißler)
ChrisW09/nlp_arabic
ChrisW09/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
ChrisW09/rogue-dimensions
replication code for EMNLP 2021 paper
ChrisW09/shapash
🔅 Shapash makes Machine Learning models transparent and understandable by everyone
ChrisW09/simpletransformers
Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
ChrisW09/text-summarisation-project
A tutorial on how to set up a text summarisation project
ChrisW09/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/workshops
Materials for workshops on the Hugging Face ecosystem
ChrisW09/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.
ChrisW09/openai-python
ChrisW09/langchain-tutorials
A set of LangChain Tutorials from my youtube channel
ChrisW09/llm-tutorials
A set of LLM Tutorials from my youtube channel
ChrisW09/mlflow
Open source platform for the machine learning lifecycle
ChrisW09/rankings
ChrisW09/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
ChrisW09/sktime
A unified framework for machine learning with time series
ChrisW09/STREAM
Simplified Topic Retrieval, Exploration, and Analysis Module
ChrisW09/time-series
Time series forecasting experiments using machine learning, deep learning and statistical methods.
ChrisW09/Time-Series-Ensembles
ChrisW09/Twitmo
Collect Twitter data and create topic models with R