gmum / rl-crash-courseLinks
Crash Course in Reinforcement Learning - ML in PL workshops
☆20Updated 5 years ago
Alternatives and similar repositories for rl-crash-course
Users that are interested in rl-crash-course are comparing it to the libraries listed below
Sorting:
- A High Level API for Deep Learning in JAX☆477Updated 3 years ago
- Rax is a Learning-to-Rank library written in JAX.☆336Updated 4 months ago
- My repo for training neural nets using pytorch-lightning and hydra☆223Updated 10 months ago
- Unit Testing for pytorch, based on mltest☆312Updated 5 years ago
- Behavioral "black-box" testing for recommender systems☆468Updated 2 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆471Updated 3 years ago
- Drift Detection for your PyTorch Models☆324Updated 3 years ago
- 100 exercises to learn JAX☆596Updated 3 years ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆573Updated 3 years ago
- 📘 The experiment tracker for foundation model training☆624Updated 2 months ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆210Updated 4 years ago
- Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)☆314Updated last week
- A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibilit…☆413Updated 3 years ago
- Doubt your data, find bad labels.☆517Updated last year
- skops is a Python library helping you share your scikit-learn based models and put them in production☆503Updated last week
- RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…☆261Updated 2 years ago
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,708Updated last month
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆872Updated 2 years ago
- Repository for tutorial sessions at EEML2020☆270Updated 5 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 3 years ago
- Software Architecture for ML engineers☆415Updated 3 years ago
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆733Updated this week
- 📈 Log and track ML metrics, parameters, models with Git and/or DVC☆184Updated 3 weeks ago
- A library for distributed ML training with PyTorch☆366Updated 3 years ago
- Experiment tracking, ML developer tools☆896Updated 8 months ago
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆1,112Updated last month
- A library to inspect and extract intermediate layers of PyTorch models.☆475Updated 3 years ago
- Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.☆244Updated 6 years ago
- Lightweight Hyperparameter Optimization 🚂☆149Updated last year
- The "tl;dr" on a few notable transformer papers (pre-2022).☆190Updated 3 years ago