Stars
Python library for ODE integration via Taylor's method and LLVM
High-performance quantum systems simulation with JAX (GPU-accelerated & differentiable solvers).
A C++ Algorithmic Differentiation Package: Home Page
Trajectory optimisation in learned multimodal dynamical systems via latent-space collocation - JAX.
On-the-fly conversions between Jax and NumPy tensors
SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Implementation of the Successive Convexification algorithm.
Solve automatic numerical differentiation problems in one or more variables.
A C++ framework for MDPs and POMDPs with Python bindings
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Range library for C++14/17/20, basis for C++20's std::ranges
Turn your obsidian notes into academic papers.
A Bunch is a Python dictionary that provides attribute-style access (a la JavaScript objects).
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
A library for numerically integrating nonlinear dynamical systems.
High-order ODE solvers as C++ classes with no dependencies
A library of probabilistic model based RL algorithms in pytorch
Exploring multimodal fusion-type transformer models for visual question answering (on DAQUAR dataset)
Pytorch VQA : Visual Question Answering (https://arxiv.org/pdf/1505.00468.pdf)
This is an adaptation of LXMERT on both VQA-CP and VQA dataset.
BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models
Assimulo is a simulation package for solving ordinary differential equations.