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Search results for jupyter notebook sgd
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49 search results found
Hands On Meta Learning With Python
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857
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Deep_learning_nlp
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359
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Machine Learning In Action
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226
个人使用jupyter notebook整理的peter的《机器学习实战》代码,使其更有层次感,更加连贯,也加了一些自己的修
Spark Fm Parallelsgd
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212
Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
Ml From Scratch
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188
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
End To End Generative Dialogue
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135
A neural conversation model
Pytorch Byol
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94
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Nlp Interview Notes
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84
📚 专门为自然语言处理(NLP)面试准备的学习笔记与资料
Ctr Criteo
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54
kaggle 2014 criteo ctr竞赛方案整理 https://www.kaggle.com/c/criteo-display-ad-challen
Synapses
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50
Signsgd
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48
Code for the signSGD paper
Zipml Pynq
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40
Linear model training using stochastic gradient descent (SGD) on PYNQ with full to low precision.
Deep Learning Optimization Algorithms
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37
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
Machinelearningnote
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37
用python实现机器学习各种经典算法
Resnet.torch
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35
an updated version of fb.resnet.torch with many changes.
Sparsifiedsgd
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31
Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599
A Tour Of Pytorch Optimizers
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30
A tour of different optimization algorithms in PyTorch.
Sgdoptim.jl
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27
A julia package for Gradient Descent and Stochastic Gradient Descent
Graduation Design
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26
:trollface: 本科毕业设计:针对Deepfake假脸视频面部细节特征的提取算法
Sgd From Scratch
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25
Stochastic gradient descent from scratch for linear regression
Grda Optimizer
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25
Error Feedback Sgd
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24
SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847
Sgd Sparse Features
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23
SGD with large step sizes learns sparse features [ICML 2023]
Generalizing Lottery Tickets
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19
This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"
Srsgd
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18
Code base for SRSGD
Mlcourse_dubai
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17
Repository for ML course in Dubai
Book Recommendation System
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17
Personalized book recommender system to generate top 5 recommendations to users
Dogs Vs Cats Redux
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17
Dogs vs. Cats Redux on floydhub
Recon3d
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16
A 3-Dimensional View of Human Metabolism and Disease
Hypergradient_variants
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16
Improved Hypergradient optimizers, providing better generalization and faster convergence.
Advanced Factorization Of Machine Systems
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16
GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
Adam Vs Sgd Numpy
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14
A 3-layer neural network with SGD and Adam optimizers built from scratch with numpy.
Dl_tutorials
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14
Learning Explanations Hard To Vary
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13
Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard to vary"
Systemml Nn
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12
A deep learning library for Apache SystemML.
Artificial_curiosity
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12
Adaptive Reinforcement Learning of curious AI basketball agents
Sgd Uap Torch
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9
Universal Adversarial Perturbations (UAPs) for PyTorch
Codes_fastai
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8
My codes for http://course.fast.ai/lessons/lessons.html
Optimization For Data Science
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7
Optimization for Data Science Course
Crack Detection
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6
Big_data
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5
notes for big data
Grokking Deep Learning Notebooks
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5
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
Nuqsgd
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5
PyTorch Code for the paper "NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization"
Fashionableml
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5
Deposit for reproducibility study of "Three Factors Influencing Minima in SGD" in ICLR 2018
Compsumm
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5
Code and Datasets for AAAI paper "Comparative Document Summarisation via Classification"
Speech_commands_recognition
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5
CCF练习赛-通用音频分类
Transfer Learning For Flower Classification By Resnet
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5
A jupyter notebook is provided for in-depth explanation.
Kaggle Competitions Solution
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5
Solutions and Guides to various Kaggle Machine Learning Competitions
Mmd Project
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5
Mining Million Song Dataset
Gradient Descent
⭐
5
A research project on enhancing gradient optimization methods
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