Topic: optimizers Goto Github
Some thing interesting about optimizers
Some thing interesting about optimizers
optimizers,Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
User: aqwamcreates
Home Page: https://aqwamcreates.github.io/DataPredict/
optimizers,Create animated videos for various optimizers used for training deep learning models
User: arunprakash-a
optimizers,Effect of Optimizer Selection and Hyperparameter Tuning on Training Efficiency and LLM Performance
Organization: avnlp
optimizers,Official project of BOCB (A Decade’s Battle on the Bias of Vision Backbone and Optimizer)
User: bocb-ai
Home Page: https://bocb-ai.github.io/
optimizers,Python Library for creating and training CNNs. Implemented from scratch.
User: cabbagito
optimizers,A set of NBA optimizers and GPP tools to help you win daily fantasy sports
User: chanzer0
optimizers,FrostNet: Towards Quantization-Aware Network Architecture Search
Organization: clovaai
Home Page: https://arxiv.org/abs/2006.09679
optimizers,Lookahead mechanism for optimizers in Keras.
User: cyberzhg
Home Page: https://pypi.org/project/keras-lookahead/
optimizers,RAdam implemented in Keras & TensorFlow
User: cyberzhg
Home Page: https://pypi.org/project/keras-rectified-adam/
optimizers,Summarize Massive Datasets using Submodular Optimization
Organization: decile-team
optimizers,Package for CGD and ACGD optimizers
User: devzhk
Home Page: https://pypi.org/project/CGDs
optimizers,Optimizers for/and sklearn compatible Machine Learning models
User: dmeoli
optimizers,Cardis Optimizer is a simple but complex optimizer that will have your pc running better in minutes!
User: dopestcardi
Home Page: https://discord.com/invite/U6WfZFgYrj
optimizers,D2 is a strongly-typed, statically-typed, (mostly) inferred-type compiled language.
User: dplassgit
optimizers,Julia implementations of various animal-inspired optimizers
User: dzonimn
optimizers,Implementation and comparison of SGD, SGD with momentum, RMSProp and AMSGrad optimizers on the Image classification task using MNIST dataset
User: eliafantini
optimizers,Nx-powered Neural Networks
Organization: elixir-nx
optimizers,This is an application for showing how optimization algorithms work
User: epicdima
optimizers,Evaluating optimization algorithms in IVHD method (interactive visualization of high-dimensional data)
User: greg9702
optimizers,🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
User: gugarosa
Home Page: https://opytimizer.readthedocs.io
optimizers,Improved Hypergradient optimizers, providing better generalization and faster convergence.
User: harshalmittal4
optimizers,Neutron: A pytorch based implementation of Transformer and its variants.
User: hfxunlp
Home Page: https://github.com/hfxunlp/transformer
optimizers,Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)
User: ivallesp
optimizers,
User: jitensid
optimizers,Aplicação Windows desenvolvida por mim para otimização tanto do sistema como de certos jogos
User: kockiee
Home Page: https://kockiee.github.io/
optimizers,🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Organization: labmlai
Home Page: https://nn.labml.ai
optimizers,Fused 4bit AdamW in Cuda
User: lessw2020
optimizers,Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch
User: lucidrains
optimizers,🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
User: lucidrains
optimizers,Lightweight automatic differentiation library
User: ndoll1998
optimizers,A collection of optimizers, some arcane others well known, for Flax.
User: nestordemeure
optimizers,Deep Learning Optimizers
User: nisheethjaiswal
optimizers,Lion - EvoLved Sign Momentum w/ New Optimizer API in TensorFlow 2.11+
User: origamidream
optimizers,Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
User: overlordgolddragon
optimizers,Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
User: palle-k
Home Page: https://palle-k.github.io/DL4S/
optimizers,A Repository to Visualize the training of Linear Model by optimizers such as SGD, Adam, RMSProp, AdamW, ASMGrad etc
User: plusminuschirag
optimizers,Intergration to get optimizers information from the SolarEdge portal
User: proudelm
optimizers,dm-haiku implementation of hyperbolic neural networks
User: raffaelbdl
optimizers,Instantly improve your training performance of TensorFlow models with just 2 lines of code!
User: rishit-dagli
Home Page: https://pypi.org/project/gradient-centralization-tf/
optimizers,Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
Organization: sail-sg
optimizers,Neural Network implemented with different Activation Functions i.e, sigmoid, relu, leaky-relu, softmax and different Optimizers i.e, Gradient Descent, AdaGrad, RMSProp, Adam. You can choose different loss functions as well i.e, cross-entropy loss, hinge-loss, mean squared error (MSE)
User: sameetasadullah
optimizers,A curated list of optimizers for machine learning.
User: seungjaeryanlee
optimizers,A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
User: shivamshrirao
optimizers,Toy implementations of some popular ML optimizers using Python/JAX
User: shreyansh26
optimizers,This repository is a meticulously assembled anthology of optimization algorithms, meticulously implemented in PyTorch, designed to cater to the diverse needs of the machine learning research community.
User: tianshijing
optimizers,Neural Networks and optimizers from scratch in NumPy, featuring newer optimizers such as DemonAdam or QHAdam.
User: timvvvht
optimizers,Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"
User: usef-kh
optimizers,Fast, Modern, Memory Efficient, and Low Precision PyTorch Optimizers
User: warner-benjamin
Home Page: https://optimi.benjaminwarner.dev
optimizers,ML with C#
User: xin-pu
optimizers,A New Optimization Technique for Deep Neural Networks
User: yonghongwei
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