avandekleut
Machine learning, artificial intelligence and computational neuroscience. Master's of Mathematics at the University of Waterloo.
avandekleut's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
facebookresearch/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
henriqueinonhe/promises-training
Practice working with promises through a curated collection of interactive challenges. This repository provides a platform to refine your skills, complete with automated tests to to give you instant feedback and validate your progress.
ArthurZC23/Machine-Learning-A-Probabilistic-Perspective-Solutions
My solutions to Kevin Murphy Machine Learning Book
denisyarats/drq
DrQ: Data regularized Q
vitchyr/multiworld
Multitask Environments for RL
frozenca/ML-Murphy
Complete solutions for exercises and MATLAB example codes for "Machine Learning: A Probabilistic Perspective" 1/e by K. Murphy
smarlhens/python-boilerplate
Python boilerplate using uv, pre-commit, prettier, pytest, GitHub Actions, mypy, ruff, bandit & docformatter.
yconst/balance-bot
OpenAI Gym environment for training a balancing bot
avandekleut/gbrlfi
Goal-based RL from images.