Lists (32)
Alignment
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Datasets
2 repositories
interviews
1 repository
Jax
23 repositories
LLM
2 repositories
MARL
2 repositories
MARL-envs
5 repositories
MARL-libs
10 repositories
ML-material
2 repositories
ML-utils
6 repositories
Planning
4 repositories
RL-algos
6 repositories
RL-autocurricula
1 repository
RL-awesome
2 repositories
RL-bench
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RL-continual
RL-diffusion
2 repositories
RL-distributed
1 repository
RL-envs
18 repositories
RL-expl
RL exploration related6 repositories
RL-lang
3 repositories
RL-libs
22 repositories
RL-LLM
9 repositories
RL-MB
5 repositories
RL-meta
1 repository
RL-offline
3 repositories
RL-openended
2 repositories
RL-skill
1 repository
Robot-Learning
2 repositories
Safe-RL
2 repositories
Tools
2 repositories
VLM
1 repository
Starred repositories
159
stars
written in Jupyter Notebook
Clear filter
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A latent text-to-image diffusion model
Python Data Science Handbook: full text in Jupyter Notebooks
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A game theoretic approach to explain the output of any machine learning model.
Learn OpenCV : C++ and Python Examples
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Neural Networks: Zero to Hero
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Companion webpage to the book "Mathematics For Machine Learning"
This repository contains implementations and illustrative code to accompany DeepMind publications
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
This repository contains demos I made with the Transformers library by HuggingFace.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Public facing notes page
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Best Practices, code samples, and documentation for Computer Vision.
Playing Pokemon Red with Reinforcement Learning
Flax is a neural network library for JAX that is designed for flexibility.
A course in reinforcement learning in the wild
The Udacity open source self-driving car project