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Search results for pytorch gradient

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Pytorch Cnn Visualizations ⭐ 6,883

Pytorch implementation of convolutional neural network visualization techniques

Pytorch Optimizer ⭐ 2,882

torch-optimizer -- collection of optimizers for Pytorch

Biggan Pytorch ⭐ 2,356

The author's officially unofficial PyTorch BigGAN implementation.

Rlpyt ⭐ 1,709

Reinforcement Learning in PyTorch

Functorch ⭐ 1,403

functorch is JAX-like composable function transforms for PyTorch.

SAM: Sharpness-Aware Minimization (PyTorch)

Dcnv2 ⭐ 1,131

Deformable Convolutional Networks v2 with Pytorch

Densenet.pytorch ⭐ 632

A PyTorch implementation of DenseNet.

Ghm_detection ⭐ 512

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

Backpack ⭐ 504

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

Grad Cam Pytorch ⭐ 438

PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps

The entmax mapping and its loss, a family of sparse softmax alternatives.

Yellowfin_pytorch ⭐ 293

auto-tuning momentum SGD optimizer

Pytorch Es ⭐ 293

Evolution Strategies in PyTorch

Pytorch Cnn Adversarial Attacks ⭐ 272

Pytorch implementation of convolutional neural network adversarial attack techniques

Greedy_infomax ⭐ 272

Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations

Vit Explain ⭐ 260

Explainability for Vision Transformers

Multihopkg ⭐ 252

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Pytorch_misc ⭐ 241

Code snippets created for the PyTorch discussion board

Pytorch Maddpg ⭐ 231

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

Torch Dreams ⭐ 229

Flexible Feature visualization on PyTorch, for research and art 🔎 💻 🧠 🎨

Visualisation tool for CNNs in pytorch

Pytorch Lesson Zh ⭐ 214

pytorch 包教不包会

Pytorch Ddpg ⭐ 207

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

Mcan Vqa ⭐ 181

Deep Modular Co-Attention Networks for Visual Question Answering

Spinning Up Basic ⭐ 164

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

Pytorch_workplace ⭐ 153

Random miniprojects with pytorch.

Pix2latent ⭐ 149

Code for: Transforming and Projecting Images into Class-conditional Generative Networks

Adatune ⭐ 144

Gradient based Hyperparameter Tuning library in PyTorch

Storchastic ⭐ 143

Stochastic Automatic Differentiation library for PyTorch.

[NeurIPS 2019] Deep Leakage From Gradients

Stochastic_gradient_push ⭐ 141

Stochastic Gradient Push for Distributed Deep Learning

Elasticdeform ⭐ 141

Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).

Path_explain ⭐ 134

A repository for explaining feature attributions and feature interactions in deep neural networks.

Pytorch Examples ⭐ 123

train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

Visual Attribution ⭐ 117

Pytorch Implementation of recent visual attribution methods for model interpretability

D4pg Pytorch ⭐ 116

PyTorch implementation of Distributed Distributional Deterministic Policy Gradients

Noisynaturalgradient ⭐ 115

Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"

Gradcam.pytorch ⭐ 113

Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization

scorch is a deep learning framework in Scala inspired by PyTorch

Pytorch_tutorial ⭐ 103

Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.

Gradcam_plus_plus Pytorch ⭐ 102

A Simple pytorch implementation of GradCAM and GradCAM++

Dni.pytorch ⭐ 102

Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

Pytorch implementation of Wasserstein GANs with Gradient Penalty

Run:AI Python library

Tensorgrad ⭐ 90

Differentiable Programming Tensor Networks

Reinforcement_learning ⭐ 89

강화학습에 대한 기본적인 알고리즘 구현

Psgd_torch ⭐ 86

Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)

Nas With Code ⭐ 72

Neural Architecture Search (NAS) papers with code

Rl Workshop ⭐ 69

Reinforcement Learning Workshop for Data Science BKK

Pytorch Lightning Snippets ⭐ 62

A collection of code snippets for my PyTorch Lightning projects

Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.

Entropy Sgd ⭐ 61

Lua implementation of Entropy-SGD

Lola_dice ⭐ 61

Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)

Pathnet Pytorch ⭐ 60

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Pytorch Complex Tensor ⭐ 55

Unofficial complex tensor and scalar support for Pytorch

Pytorch Pcgrad ⭐ 53

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Pytorch Sqrtm ⭐ 49

Matrix square root with gradient support for PyTorch

Berkeleydeeprlcourse Homework Pytorch ⭐ 49

Assignments for CS294-112 Fall2018 in Pytorch

Neural Net Optimization ⭐ 49

PyTorch implementations of recent optimization algorithms for deep learning.

Memory Efficient Maml ⭐ 48

Memory efficient MAML using gradient checkpointing

Torch_cg ⭐ 48

Preconditioned Conjugate Gradient in Pytorch

Mixed Precision Pytorch ⭐ 46

Training with FP16 weights in PyTorch

Pytorch Word2vec ⭐ 40

Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH

How_to_write_cuda_extensions_in_pytorch ⭐ 39

How to write cuda kernels or c functions in pytorch, especially for former caffe users.

Proxprop ⭐ 35

Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps

Policy Gradient Methods ⭐ 35

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

gradient-free act max for visual neurons

ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators

PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)

Fast Individual Gradients With Autodiff ⭐ 26

Deform_conv3d_pytorch_op ⭐ 25

An Operation for 3D Deformable Convolution in Pytorch 0.3

Gradient_starvation ⭐ 24

Gradient Starvation: A Learning Proclivity in Neural Networks

Pytorch Pl Variance Reduction ⭐ 24

Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution, AAAI 2020 and NeurIPS 2019 Bayesian Deep Learning Workshop

Ddpg Pytorch ⭐ 21

Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite

Gradient Boosted Normalizing Flows ⭐ 21

We got a stew going!

A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"

Grad Cnns ⭐ 19

Code and manuscript for "Efficient Per-Example Gradient Computations in Convolutional Neural Networks"

Adaptive_gd ⭐ 19

Adaptive gradient descent without descent

Gradflow Check ⭐ 18

Check gradient flow in Pytorch

Learning To Learn By Pytorch ⭐ 18

A simple re-implementation for "Learning to learn by gradient descent by gradient descent "by PyTorch

Pytorch Rdpg ⭐ 18

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

A collection of Gradient-Based Meta-Learning Algorithms with pytorch

Proxgradpytorch ⭐ 15

PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).

Policy Gradient Methods ⭐ 15

Modular PyTorch implementation of policy gradient methods

Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

Autograd Lib ⭐ 14

Learning To Learn By Gradient Descent By Gradient Descent ⭐ 14

Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"

Torch Reparametrised Mixture Distribution ⭐ 14

PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.

Pytorch_ps_mpi ⭐ 12

PyTorch parameter server with MPI

CFG-GAN: Composite functional gradient learning of generative adversarial models

Actor Critic Pytorch ⭐ 12

Policy Gradient Actor-Critic PyTorch | Lunar Lander v2

Cgds Package ⭐ 12

Package for CGD and ACGD optimizers

Pytorch Es Tic Tac Toe ⭐ 11

Evolution Strategies in PyTorch (Tic-tac-toe)

Novograd Pytorch ⭐ 11

pytorch implement of NovoGrad Optimizer

Count Sketch Optimizers ⭐ 10

A compressed adaptive optimizer for training large-scale deep learning models using PyTorch

Dual-way gradient sparsification approach for async DNN training, based on PyTorch.

Torchhalp ⭐ 10

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