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berkeley-deep-rl-pytorch-solutions

Pytorch solutions for UC Berkeley's cs285 assignments

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

coax

Modular framework for Reinforcement Learning in python

d3rlpy

An offline deep reinforcement learning library

dae-pinns

discrete PINNs

deeponet-grid-uq

DeepONet and UQ for power systems transient stability

dl-workshop

Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!

fedjax

FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.

jax-rl

JAX implementations of various deep reinforcement learning algorithms.

kalman-and-bayesian-filters-in-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 filters, and more. All exercises include solutions.

learned-replica-exchange

Skipping the replica exchange ladder with normalizing flows

mbbl

natural-language-processing-specialization

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

oderl

Experiment code for "Continuous-Time Model-Based Reinforcement Learning"

open-l2o

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

paperspace-ddpg-tutorial

PyTorch implementation of DDPG architecture for educational purposes

pddm

pimbrl

Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control

resume

LaTeX resume format

rlkit-offline-rl-benchmark

Rlkit code for offline RL benchmarking

torchfilter

Bayesian filtering library for PyTorch

uqdeeponet

UQDeepONet

weight-uncertainty-in-neural-networks

UQ