Topic: optax Goto Github
Some thing interesting about optax
Some thing interesting about optax
optax,Stochastic Weight Averaging (SWA) transforms for Optax with JAX
User: activatedgeek
optax,An implementation of MNIST classification using LeNet-300-100 in JAX (using Haiku and Optax).
User: alexjackson1
optax,A reimplementation of Parallel DNN Training in JAX by Will Whitney using haiku and optax.
User: alexjackson1
optax,SQA scottish Science Baccalaureate of Christopher Rae. Improving the preformance of distributed data parallelism of low wifi bandwidths
User: bigballoon8
optax,An gradient-free optimization suite written in JAX. We conform to the optax interface and provide ensemble-based optimizers.
User: bischtob
optax,This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.
Organization: borealisai
Home Page: https://arxiv.org/abs/2402.03293
optax,A library which trains the Fermionic Neural Network to find the ground state wave functions of an atom or a molecule using neural network quantum states.
User: cevenkadir
optax,Neural implicit digital elevation model
User: daniel-j-h
optax,Accelerate, Optimize performance with streamlined training and serving options with JAX.
User: erfanzar
Home Page: https://easydel.readthedocs.io/en/latest/
optax,Direct port of TD3_BC to JAX using Haiku and optax.
User: ethanluoyc
optax,Implementation of PSGD optimizer in JAX
User: evanatyourservice
optax,Sophia optimizer with ScheduleFree
User: evanatyourservice
optax,Goal-conditioned reinforcement learning like 🔥
User: frankroeder
optax,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.
User: gordicaleksa
Home Page: https://www.youtube.com/c/TheAIEpiphany/
optax,An implementation of adan optimizer for optax
User: hr0nix
optax,Simple CIFAR10 ResNet example with JAX.
User: hushon
optax,Maximal Update Parametrization (μP) with Flax & Optax.
User: jessefarebro
optax,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.
User: mzguntalan
optax,A place for code to relax in happiness without the pressure of maintenance. Mostly related to Machine Learning and Deep Learning
User: mzguntalan
optax,A Simplistic trainer for Flax
User: nithishm2410
optax,A helper library for training dm-haiku models.
User: ntt123
Home Page: https://haiku-trainer.readthedocs.io/en/latest/
optax,The (unofficial) vanilla version of WaveRNN
User: ntt123
optax,Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
User: phlippe
Home Page: https://uvadlc-notebooks.readthedocs.io/en/latest/
optax,JAX implementation of Classical and Quantum Algorithms for Orthogonal Neural Networks by (Kerenidis et al., 2021)
User: qdevpsi3
optax,dm-haiku implementation of hyperbolic neural networks
User: raffaelbdl
optax,Oxford MSc thesis. PriorVAE with graph convolutional networks for local-to-global information propagation
User: salfaris
optax,Variational Graph Autoencoder implemented using Jax & Jraph
User: salfaris
optax,LSTM POS Tagger implementation in Jax and Flax
User: shawonashraf
optax,Experiment with diffusion models that you can run on your local jupyter instances
User: varun-ml
optax,This repository contains some of the code I wrote for the assignments in DSA4212 - Optimisation for Large-Scale Data-Driven Inference.
User: xghan99
optax,Simple JAX implementation of Gaussian process regression
User: yonesuke
optax,JAX/Flax implementation of finite-size scaling
User: yonesuke
Home Page: https://yonesuke.github.io/jaxfss/
optax,An Optax-based JAX implementation of the IVON optimizer for large-scale VI training of NNs (ICML'24 spotlight)
User: ysngshn
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