Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
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Oct 27, 2024 - Jupyter Notebook
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optax
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The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
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Nov 29, 2023 - Jupyter Notebook
This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.
deep-learning transformers flax lora peft jax random-projection optax large-language-models memory-efficient-tuning
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Jul 1, 2024 - Python
JAX implementations of various deep reinforcement learning algorithms.
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Apr 23, 2021 - Python
Implementation of PSGD optimizer in JAX
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Dec 8, 2024 - Python
Goal-conditioned reinforcement learning like 🔥
goals reinforcement-learning robotics deep-reinforcement-learning flax gymnasium actor-critic deep-deterministic-policy-gradient jax soft-actor-critic optax goal-conditioned-rl distrax gymnasium-robotics mpi4jax droq
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Feb 3, 2024 - Python
JAX/Flax implementation of finite-size scaling
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Jan 15, 2023 - Python
An implementation of adan optimizer for optax
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Sep 18, 2022 - Python
H-Former is a VAE for generating in-between fonts (or combining fonts). Its encoder uses a Point net and transformer to compute a code vector of glyph. Its decoder is composed of multiple independent decoders which act on a code vector to reconstruct a point cloud representing a glpyh.
fonts neural-network glyphs point-cloud transformer vae flax jax atlasnet point-network font-generation optax
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Jul 8, 2022 - Python
JAX implementation of Classical and Quantum Algorithms for Orthogonal Neural Networks by (Kerenidis et al., 2021)
quantum-computing mnist-classification haiku stax jax optax quantum-inspired orthogonal-neural-network
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Jan 6, 2023 - Python
Tensor Networks for Machine Learning
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Dec 20, 2024 - Python
Variational Graph Autoencoder implemented using Jax & Jraph
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Mar 22, 2024 - Python
Training methodologies for autoregressive neural operators in JAX.
deep-learning optimization timeseries-forecasting autoregressive-models optax differentiable-physics unrolled-training
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Nov 5, 2024 - Python
A Simplistic trainer for Flax
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Dec 25, 2024 - Python
Direct port of TD3_BC to JAX using Haiku and optax.
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Sep 7, 2021 - Python
An Optax-based JAX implementation of the IVON optimizer for large-scale VI training of NNs (ICML'24 spotlight)
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Dec 19, 2024 - Python
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