Topic: sgd Goto Github
Some thing interesting about sgd
Some thing interesting about sgd
sgd,Squared Hinge SVM
User: aisoltani
sgd,Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
User: akramz
Home Page: https://nbviewer.jupyter.org/github/Akramz/grokking-deep-learning-notebooks/tree/master/
sgd,A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
User: anicetngrt
Home Page: https://linktr.ee/jironn
sgd,Stochastic gradient descent from scratch for linear regression
User: arseniyturin
sgd,A tour of different optimization algorithms in PyTorch.
User: bentrevett
sgd,PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arbitrary non-identicalness and imbalance (Dirichlet priors). Client systems can be arbitrarily heterogeneous. Several mobile-friendly models are provided
User: c-gabri
sgd,Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"
User: chentingpc
sgd,Distributed Fieldaware Factorization Machines based on Parameter Server
User: cnevd
sgd,A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)
Organization: decile-team
sgd,Adaptive Reinforcement Learning of curious AI basketball agents
User: dimgold
sgd,NBSVM using SGD for fast processing of large datasets
User: dpressel
sgd,R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm
User: dselivanov
sgd,Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
Organization: ebay
sgd,Hands on implementation of gradient descent based optimizers in raw python
User: falaktheoptimist
sgd,Machine learning algorithms in Dart programming language
User: gyrdym
Home Page: https://gyrdym.github.io/ml_algo/
sgd,Riemannian stochastic optimization algorithms: Version 1.0.3
User: hiroyuki-kasai
sgd,MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
User: hiroyuki-kasai
sgd,Simple MATLAB toolbox for deep learning network: Version 1.0.3
User: hiroyuki-kasai
sgd,Implementation of key concepts of neuralnetwork via numpy
User: hwalsuklee
sgd,Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
User: jack-willturner
sgd,TensorFlow implementation of entropy SGD
User: justin-tan
sgd,Machine Learning Framework
User: kirushyk
sgd,Distributed Learning by Pair-Wise Averaging
User: loudinthecloud
sgd,Python implementations of Simplex Method, Branch and Bound, Gomory's Cutting Plane Method, Iterative: Steepest Gradient Descent, Newton's Method
User: megha-bose
sgd,Implementation of Redundancy Infused SGD for faster distributed SGD.
User: mmkamani7
sgd,Unofficial implementation of Switching from Adam to SGD optimization in PyTorch.
User: mrpatekful
sgd,CUDA Implementation of Parallel Matrix Factorization Algorithm for Recommender Systems
User: nickgreenquist
sgd,A sentiment classifier on mixed language (and mixed script) reviews in Tamil, Malayalam and English
User: oligoglot
sgd,Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
User: overlordgolddragon
sgd,Parametric estimation of multivariate Hawkes processes with general kernels.
User: saadlabyad
sgd,LSTM and QRNN Language Model Toolkit for PyTorch
Organization: salesforce
sgd,Türkçe metinlerde konu modellemesi için tahminleme çalışması.
User: serkanars
sgd,This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
User: sirrob1997
sgd,EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
User: statmlben
sgd,Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with Gaussian noise during training.
User: thecml
sgd,SGD with large step sizes learns sparse features [ICML 2023]
Organization: tml-epfl
Home Page: https://arxiv.org/abs/2210.05337
sgd,Lua implementation of Entropy-SGD
Organization: ucla-vision
sgd,
Organization: ucla-vision
sgd,NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
User: vballoli
Home Page: https://nfnets-pytorch.readthedocs.io/en/latest/
sgd,Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
User: wenwei202
sgd,vector quantization for stochastic gradient descent.
User: xinyandai
sgd,Efficient, transparent deep learning in hundreds of lines of code.
User: yechengxi
sgd,A jupyter notebook is provided for in-depth explanation.
User: yhuag
sgd,implementation of factorization machine, support classification.
User: yym-ustc
sgd,Java based sample code for developing on Android. The demos in this repository are stored on separate branches. To navigate to a demo, please click branches.
Organization: zebradevs
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