Topic: optimizers Goto Github
Some thing interesting about optimizers
Some thing interesting about optimizers
optimizers,This GitHub repository contains the code used for CS-671: Introduction to Deep Learning course offered by IIT Mandi during the Even Semester of 2022. The repository includes the implementations of various deep learning algorithms and techniques covered in the course.
User: aaronthomasjoseph
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,Benchmarking Optimizers for Sign Language detection
User: dunnkers
Home Page: https://dunnkers.com/optimizers-sign-language
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,ConvNN is used to predict digits for the MNIST dataset
User: farruhshahidi
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,Implementing Neural Network from scratch (MLP and CNN), purely in numpy with optimizers
User: kmoszczyc
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,🦁 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,Code to conduct experiments for the paper Modified Gauss-Newton method for solving a smooth system of nonlinear equations.
User: neyudin
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 is a reposatory for implementation of different types of optimizers (SGD, RMSprop, Adam etc.) with three different use cases Function Approximation, Multi-class Single-label Classification and Multi-class Multi-label Classification)
User: sushant-seet
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,implementation of sophia (Second-Order cliPped stocHastic optimizAtion)
User: vmad18
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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