JaninaPa / rl_course_dhbw-ma
Code used in lecture "Reinforcement Learning"
β9Updated 4 months ago
Related projects: β
- A LaTeX template for Project and Bachelor Thesis, DHBW Mannheimβ89Updated 3 months ago
- π DHBW Lecture Notes "Applied ML Fundamentals" π€β48Updated 3 months ago
- β8Updated 3 years ago
- The lecture notes for my lecture on AI.β42Updated 5 months ago
- lecture notes for the algorithms class together with most of the programsβ43Updated 3 weeks ago
- Materials for Applied Data Analysis CS-401, Fall 2021β46Updated last year
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.β1,106Updated last year
- We implement a github actions llm that creates google docstrings, typing, linting, and the sphinx documentation.β8Updated 2 months ago
- Repository for EPFL's CS-552: Modern NLP classβ38Updated 3 months ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-β¦β448Updated 8 months ago
- This repository contains the source code related to the analysis of the salary survey, as well as the development of a dashboard webapp.β14Updated 6 months ago
- Exercises and supplementary material for the machine learning operations course at DTU.β572Updated last month
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networksβ1,440Updated last week
- Hier finden Sie die Unterlagen zu der Vorlesung "Theoretische Informatik I", die sich im wesentlichen mit der Logik befasst. Die Beispieβ¦β32Updated 3 weeks ago
- Benchmarks for the Evaluation of LLM Supervisionβ26Updated 3 weeks ago
- Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.β1,175Updated 4 months ago
- Educational materials on deep learning by Weights & Biasesβ499Updated this week
- β9Updated 2 years ago
- ππΌβ16Updated 3 weeks ago
- Attention is all you need implementationβ549Updated 3 months ago
- Lab sessions for NLP courseβ17Updated last year
- Deep Learning Fundamentals -- Code material and exercisesβ333Updated 6 months ago
- β274Updated this week
- Remote Brown Bag Sessions des ARICβ44Updated this week
- nannyml: post-deployment data science in pythonβ1,858Updated this week
- Learn how to design, develop, deploy and iterate on production-grade ML applications.