Christoph Weisser (ChrisW09)

ChrisW09

Geek Repo

Company:BASF

Location:Göttingen

Home Page:www.linkedin.com/in/christophweisser

Twitter:@ChrisWeisser30

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Organizations
basf

Christoph Weisser's repositories

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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awesome-mlops

A curated list of references for MLOps

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determined

Determined: Deep Learning Training Platform

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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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.

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mesh-transformer-jax

Model parallel transformers in JAX and Haiku

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fastbook

The fastai book, published as Jupyter Notebooks

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gensim

Topic Modelling for Humans

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great_expectations

Always know what to expect from your data.

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NAM-Ensemble-Model

Combining Neural Additive Models with Convolutional Neural Networks to predict prices of AirBnB accomodations. (Co-Author: Jonathan Mißler)

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notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

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rogue-dimensions

replication code for EMNLP 2021 paper

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shapash

🔅 Shapash makes Machine Learning models transparent and understandable by everyone

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simpletransformers

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

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text-summarisation-project

A tutorial on how to set up a text summarisation project

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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

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workshops

Materials for workshops on the Hugging Face ecosystem

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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.

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langchain-tutorials

A set of LangChain Tutorials from my youtube channel

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llm-tutorials

A set of LLM Tutorials from my youtube channel

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mlflow

Open source platform for the machine learning lifecycle

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satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

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sktime

A unified framework for machine learning with time series

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STREAM

Simplified Topic Retrieval, Exploration, and Analysis Module

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time-series

Time series forecasting experiments using machine learning, deep learning and statistical methods.

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Twitmo

Collect Twitter data and create topic models with R

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