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optimizers

Here are 53 public repositories matching this topic...

annotated_deep_learning_paper_implementations

labmlai / annotated_deep_learning_paper_implementations

Sponsor

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

machine-learning reinforcement-learning deep-learning transformers pytorch transformer gan neural-networks attention deep-learning-tutorial optimizers

Updated Feb 28, 2023
Jupyter Notebook

elixir-nx / axon

Nx-powered Neural Networks

elixir deep-learning neural-networks nx optimizers

Updated Mar 23, 2023
Elixir

lucidrains / lion-pytorch

Sponsor

🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

deep-learning artificial-intelligence optimizers evolutionary-search

Updated Mar 13, 2023
Python

gugarosa / opytimizer

Sponsor

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.

python optimization artificial-intelligence meta-heuristic optimizers bioinspired meta-heuristic-optimization

Updated Feb 24, 2023
Python

Yonghongwei / Gradient-Centralization

A New Optimization Technique for Deep Neural Networks

deep-neural-networks optimizers optimization-technique gradient-centralization

Updated Jan 13, 2022
Python

CyberZHG / keras-radam

RAdam implemented in Keras & TensorFlow

tensorflow keras adam optimizers radam rectified-adam

Updated Jan 22, 2022
Python

OverLordGoldDragon / keras-adamw

Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers

tensorflow keras sgd adamw adamwr nadam optimizers learning-rate-multipliers warm-restarts

Updated Jan 6, 2022
Python

Gradient-Centralization-TensorFlow

Rishit-dagli / Gradient-Centralization-TensorFlow

Sponsor

Instantly improve your training performance of TensorFlow models with just 2 lines of code!

python machine-learning deep-neural-networks deep-learning neural-network tensorflow python3 pip python-package tensorflow2 optimizers optimization-technique gradient-centralization

Updated Feb 9, 2022
Python

clovaai / frostnet

FrostNet: Towards Quantization-Aware Network Architecture Search

computer-vision deep-learning pytorch style-transfer classification object-detection quantization network-architecture semantic-segmentation optimizers quantization-aware-training int8-quantization post-quantization quantization-efficient-network

Updated Mar 23, 2021
Python

DL4S

palle-k / DL4S

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

swift machine-learning deep-neural-networks deep-learning automatic-differentiation autograd recurrent-neural-networks recurrent-networks neural-networks derivatives convolutional-neural-networks tensor gradient-descent swift-machine-learning optimizers

Updated Nov 10, 2021
Swift

usef-kh / fer

Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"

architecture tuning vggnet loss fer schedulers fer2013 saliency-maps optimizers facial-emotions

Updated Jun 3, 2021
Jupyter Notebook

hfxunlp / transformer

Neutron: A pytorch based implementation of Transformer and its variants.

natural-language-processing python3 pytorch transformer seq2seq ensemble beam-search neural-machine-translation multi-gpu attention-is-all-you-need multilingual-nmt average-attention-network dynamic-sentence-sampling robust-neural-machine-translation average-models optimizers sentential-context context-aware-nmt relative-position dynamic-batch-size

Updated Nov 18, 2022
Python

decile-team / submodlib

Summarize Massive Datasets using Submodular Optimization

greedy-algorithms combinatorial-optimization submodular-optimization data-summarization optimizers submodular-functions submodular submodular-information-measures

Updated Mar 18, 2023
Jupyter Notebook

CyberZHG / keras-lookahead

Lookahead mechanism for optimizers in Keras.

keras lookahead optimizers

Updated Jun 24, 2021
Python

ivallesp / awesome-optimizers

Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)

deep-learning gradient-descent optimizers

Updated Mar 21, 2020
Jupyter Notebook

shreyansh26 / ML-Optimizers-JAX

Toy implementations of some popular ML optimizers using Python/JAX

machine-learning momentum gradient-descent optimization-algorithms adam adam-optimizer jax optimizers

Updated Jun 20, 2021
Python

nestordemeure / flaxOptimizers

A collection of optimizers, some arcane others well known, for Flax.

flax optimizers

Updated Aug 6, 2021
Python

ShivamShrirao / dnn_from_scratch

A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

python machine-learning library deep-neural-networks computer-vision deep-learning neural-network numpy keras cnn generative-adversarial-network gan mnist convolutional-neural-networks cifar cnn-from-scratch backpropagate ml-from-scratch optimizers

Updated Jun 19, 2021
Python

chanzer0 / NBA-DFS-Tools

A set of NBA optimizers and GPP tools to help you win daily fantasy sports

ownership draftkings fanduel player-data optimizers

Updated Feb 1, 2023
Python

ProudElm / solaredgeoptimizers

Intergration to get optimizers information from the SolarEdge portal

python solaredge-api optimizers

Updated Mar 6, 2023
Python

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