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53 search results found
Pytorch Optimizer
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2,882
torch-optimizer -- collection of optimizers for Pytorch
Supervised Reptile
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950
Code for the paper "On First-Order Meta-Learning Algorithms"
Awesome Gradient Boosting Papers
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930
A curated list of gradient boosting research papers with implementations.
Wassersteingan.tensorflow
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415
Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
Greedy_infomax
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272
Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Rbgg
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248
Isolate and remove the background gradient from images of paper.
Pytorch Lesson Zh
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214
pytorch 包教不包会
Epg
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197
Code for the paper "Evolved Policy Gradients"
Phasic Policy Gradient
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175
Code for the paper "Phasic Policy Gradient"
Fullgrad Saliency
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172
Full-gradient saliency maps
Stochastic_gradient_push
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141
Stochastic Gradient Push for Distributed Deep Learning
Maximummargingans
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135
Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
Shaplets Python
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106
Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient descent.
Hypergradient Descent
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95
Hypergradient descent
Deep Learning Specialization Coursera
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92
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
Mc_gradients
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87
Learning To Learn
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84
TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
Models
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82
Models and examples built with Chainer
Flooding
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79
Code for flooding
Rl
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55
Reading Group on Reinforcement Learning topics
Msvag
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44
TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
Influence_boosting
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43
Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
S_gd2
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40
Stress-based Graph Drawing by Stochastic Gradient Descent
Proxprop
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35
Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
Policy Gradient Methods
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35
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Softmaxgradient Lrp
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32
Langevin Mcmc
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29
Code for SIGGRAPH 2020 paper "Langevin Monte Carlo Rendering with Gradient-based Adaptation"
Diff_stokes_flow
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29
Code for the Siggraph Asia 2020 submission
Icml17_relu
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27
Error Feedback Sgd
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24
SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847
Poissondeformation
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20
implementation of the paper: Mesh Editing with Poisson-Based Gradient Field Manipulation
Pmgi_aaai2020
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18
Code of paper Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity
Gradient_regularized_gan
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17
Code for "Gradient descent GAN optimization is locally stable"
Igt.pth
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17
Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19
L0 Smoothing
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16
Implementation of algorithm in the paper 'Image Smoothing via L0 Gradient Minimization"
Qeba
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15
Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack
Steingrad
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14
Code release for the ICLR paper
Tulip
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14
Scaleable input gradient regularization
Zerosr1
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12
Proximal gradient algorithm for convex optimization, using a diagonal +/- rank-1 norm
Crossgrad
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11
Tensorflow: Generalizing Across Domains via Cross-Gradient Training
Ddl Benchmarks
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10
ddl-benchmarks: Benchmarks for Distributed Deep Learning
Carafe
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10
This Repo is the official CUDA implementation of ICCV 2019 Oral paper for CARAFE: Content-Aware ReAssembly of FEatures
Federatedlearningwithsvrg
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10
The code in order to implement SVRG on Federated System
Understanding Momentum
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10
Code for the paper "Understanding the Role of Momentum in Stochastic Gradient Methods"
Awesome Gbms
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10
A curated list of gradient boosting machines (GBM) resources
Gradient Descent The Ultimate Optimizer
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10
Paper and code for Gradient Descent: The Ultimate Optimizer
Gradattnhash
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9
source code for paper "Accelerate Learning of Deep Hashing With Gradient Attention" (ICCV 2019)
Vb Mixef
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9
Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"
Raoblackwellizedsgd
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8
A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions
Understanding Spigot
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7
Code for the paper "Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning"
Sgd_tail_index
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7
The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
Reproducing Q Agrel
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7
Ideas from the paper https://arxiv.org/pdf/1811.01768v1.pdf
Paper Implementation Overview Gradient Descent Optimization Sebastian Ruder
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7
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Reinforcement Learning Material Ws 2018
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6
This repository collects supplementary material to study reinforcement learning with a focus on topics covered by the TU Darmstadt IAS lecture on reinforcement learning.
Gradcem
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6
Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
Papers
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6
Research papers I read
Grace
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6
The impletation of paper titled GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis
Laq
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6
Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
Barker
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5
Code for the paper Livingstone and Zanella (2019) "On the robustness of gradient-based MCMC"
Reparam Nondiff
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5
Reparameterization Gradient for Non-differentiable Models
Learning And Statistical Optimization
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5
Reading Group on Learning Theory and Statistical Optimization
Batch Norm Helps Optimization
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5
Reproduction of "How Does Batch Normalization Help Optimization?" paper
Arrayflow
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5
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