optimizers

#计算机科学#59 篇深度学习论文的实现，并带有详细注释。包括 transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 强化学习 (ppo, dqn), capsnet, distillation, ... 🧠

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

#计算机科学#Nx-powered Neural Networks

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

A New Optimization Technique for Deep Neural Networks

RAdam implemented in Keras & TensorFlow

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

#计算机科学#Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch

#计算机科学#Fast, Modern, and Low Precision PyTorch Optimizers

Summarize Massive Datasets using Submodular Optimization

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

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

#计算机科学#Instantly improve your training performance of TensorFlow models with just 2 lines of code!

#计算机科学#FrostNet: Towards Quantization-Aware Network Architecture Search

#计算机科学#Prodigy and Schedule-Free, together at last.

#自然语言处理#Neutron: A pytorch based implementation of Transformer and its variants.

Intergration to get optimizers information from the SolarEdge portal

Lookahead mechanism for optimizers in Keras.

#计算机科学#Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)

#计算机科学#Toy implementations of some popular ML optimizers using Python/JAX