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Adabound Tensorflow ⭐ 135

Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019)

See Rnn ⭐ 135

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

Optimizing control variates for black-box gradient estimation

Contiguous_pytorch_params ⭐ 130

Accelerate training by storing parameters in one contiguous chunk of memory.

Openai Cartpole ⭐ 129

random search, hill climbing, policy gradient

Brainspace ⭐ 125

BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Pytorch Examples ⭐ 123

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

Gradient_boosting_tensorflow_xgboost ⭐ 119

Benchmarking Gradient Boosting in TensorFlow and XGBoost

Fast_adversarial ⭐ 118

Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"

D4pg Pytorch ⭐ 116

PyTorch implementation of Distributed Distributional Deterministic Policy Gradients

Noisynaturalgradient ⭐ 115

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

Hypertorch ⭐ 115

Gradcam.pytorch ⭐ 113

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

Powersgd ⭐ 112

Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727

Deep Learning ⭐ 107

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout，三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

Shaplets Python ⭐ 106

Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient descent.

Pychart.js ⭐ 106

Objective Chart.js implementation for Python and Django

Deep Gradient Compression ⭐ 106

[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Sum Of Functions Optimizer ⭐ 106

Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.

Python Custom Digit Recognition ⭐ 105

Using OpenCV in python to recognize digits in a scanned page of handwritten digits.

Implicit Competitive Regularization ⭐ 103

Code for: Implicit Competitive Regularization in GANs

Pytorch_tutorial ⭐ 103

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

Dni.pytorch ⭐ 102

Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

Downhill ⭐ 102

Stochastic gradient routines for Theano

GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint

Shapegf ⭐ 101

Learning Gradient Fields for Shape Generation

Optimizer Visualization ⭐ 101

Visualize Tensorflow's optimizers.

GRACE - GRAdient ComprEssion for distributed deep learning

Pytorch implementation of Wasserstein GANs with Gradient Penalty

Accum_optimizer_for_keras ⭐ 96

wrapping a keras optimizer to implement gradient accumulation

Hypergradient Descent ⭐ 95

Hypergradient descent

TensorFlow implementation of COCOB

Run:AI Python library

Autoptim ⭐ 91

Automatic differentiation + optimization

Tensorgrad ⭐ 90

Differentiable Programming Tensor Networks

psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .

Reinforcement_learning ⭐ 89

강화학습에 대한 기본적인 알고리즘 구현

Openai Gym Policy Gradient ⭐ 88

Reinforcement Learning using Policy Gradient to solve OpenAI Gym games

Reinforcementlearning Atarigame ⭐ 87

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Gradient_reversal_keras_tf ⭐ 86

Keras implementation of a gradient reversal layer for the Tensorflow backend

Color Fonts ⭐ 86

Experimental color font builds.

Psgd_torch ⭐ 86

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

Gradient ⭐ 85

This repository serves as a public issue tracker and documentation host for Gradient, full TensorFlow binding for .NET

Learning To Learn ⭐ 84

TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"

Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym environments.

Models and examples built with Chainer

Natural Gradients ⭐ 81

Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)

Pytorch Nips2017 Attack Example ⭐ 80

A PyTorch baseline attack example for the NIPS 2017 adversarial competition

Flooding ⭐ 79

Code for flooding

Asng Nas ⭐ 79

Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search

Notebooks ⭐ 78

A collection of Jupyter/IPython notebooks

Unified Gan Tensorflow ⭐ 78

A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.

Fork of http://www.pyopt.org/ (python3 compatible)

Deep Inside-Outside Recursive Autoencoder

Proximal optimization in pure python

Fas Sgtd ⭐ 70

Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing

Physical Gradient Descent ⭐ 69

Code for https://fosterelli.co/executing-gradient-descent-o

Understanding Fast Adv Training ⭐ 67

Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

Warpgrad ⭐ 67

Meta-Learning with Warped Gradient Descent

Neuroevolution ⭐ 67

Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.

Draw great-circle maps from large sets of coordinate pairs

Arboretum ⭐ 63

Gradient Boosting powered by GPU(NVIDIA CUDA)

Deep_inside_convolutional_networks ⭐ 62

This is a caffe implementation to visualize the learnt model

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

Eunn Tensorflow ⭐ 62

Efficient Unitary Neural Network(EUNN) implementation in Tensorflow

Pytorch Lightning Snippets ⭐ 62

A collection of code snippets for my PyTorch Lightning projects

This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .

Gradient Cli ⭐ 62

The command line interface for Gradient - https://gradient.paperspace.com

Pymodoro ⭐ 61

Pymodoro is the Pomodoro for Xmobar or Dzen. It runs and it tells you where you are in your current pomodoro session.

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

Alpha Zero Boosted ⭐ 60

A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

Autodiff ⭐ 58

Rudimentary automatic differentiation framework

Multivariate Boosted TRee

Noisynaturalgradient ⭐ 56

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC"

Neural Networks From Scratch ⭐ 55

An implementation of convolutional networks in NumPy!

Pytorch Complex Tensor ⭐ 55

Unofficial complex tensor and scalar support for Pytorch

Hyperparameter optimization with approximate gradient

Object Detection Via Hog Svm ⭐ 53

This is an application of Object detection using Histogram of Oriented Gradients (HOG) as features and Support Vector Machines (SVM) as the classifier. Implemented in python, the following libraries are requires

Loss Change Allocation ⭐ 53

Pytorch Pcgrad ⭐ 53

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

Code for "Gradient Surgery for Multi-Task Learning"

Gradientpathologiespinns ⭐ 52

Python Hog ⭐ 51

Python implementation of the Histogram of Oriented Gradients.

Poisoning Gradient Matching ⭐ 51

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

Img2texture ⭐ 51

CLI for converting images to seamless tiles

Liboptpy ⭐ 51

Implementation of various optimization methods

Tensorflow Cpp Op Example ⭐ 51

Simple example of implementing a new Tensorflow operation and its gradient in C++.

Bing Objectness ⭐ 51

Python implementation of BING Objectness method from "BING: Binarized Normed Gradients for Objectness Estimation at 300fps".

Berkeleydeeprlcourse Homework Pytorch ⭐ 49

Assignments for CS294-112 Fall2018 in Pytorch

Neural Net Optimization ⭐ 49

PyTorch implementations of recent optimization algorithms for deep learning.

Pytorch Sqrtm ⭐ 49

Matrix square root with gradient support for PyTorch

Torch_cg ⭐ 48

Preconditioned Conjugate Gradient in Pytorch

Network Distributed Algorithm ⭐ 48

Experiments for distributed optimization algorithms

Photo Editing Tensorflow ⭐ 47

Photo Optimizing Adversarial Net with Policy Gradient Method

Gradient_decode_dicom ⭐ 46

🏨Gradient Health DICOM operation for Tensorflow

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