small experiments with agents learning atari games, implemented in jax/numpy
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Updated
Mar 16, 2019 - Python
small experiments with agents learning atari games, implemented in jax/numpy
Graph Highway Networks in JAX
Implementation of core Deep Reinforcement Learning Algorithms with JAX.
Attax: adversarial attacks using JAX
Implementation of the real-time MPC based on iLQR in Carla simulator
Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.
Implementation of Vision Transformers in Flax
Concise deep learning for JAX
Solver for pseudo-2D model of Li-ion battery based on Finite difference Method. Incorporation of JAX for the nonlinear solver.
A jax/stax implementation of: Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., Graves, A., Riedmiller, M., Fidjeland, A.K., Ostrovski, G. and Petersen, S., 2015. Human-level control through deep reinforcement learning. nature, 518(7540), pp.529-533.
Probabilistic programming in Python built on Google Jax
A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. and Silver, D., 2020. Discovering reinforcement learning algorithms. Advances in Neural Information Processing Systems, 33.
Differentiable and hardware accelerated chemical kinetics simulations in python using JAX
Very easy Bayesian regression.
Graph Convolutional Networks in JAX
A Spatial Pyramid Pooling library built for the jax.experimental.stax library
Implementation of Self-Attentive Sequential Recommendation (SASRec) in flax
A GPU-accelerated differentiable fluid simulator written in JAX.
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