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556 search results found

Visualizing_momentum ⭐ 23

Visualizing Gradient Descent with Momentum in Python

RBF Network using Theano, climin, and sklearn.

Policy_gradients_pong ⭐ 22

This is the code for "Solving the Basic Game of Pong" by Siraj Raval on Youtube

Parallel Sgd ⭐ 22

一个用于联邦学习或分布式机器学习，对不同网络拓扑进行实验的简易框架。

Hindsight policy gradients

Arm Gradient ⭐ 22

Low-variance, unbiased, theoretically sound and computationally efficient gradient for binary latent variable models, derived by variable augmentation and antithetic sampling. (ICLR 2019)

Glsgan Gp ⭐ 22

Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN) in PyTorch with gradient penalty, including both LS-GAN and WGAN as special cases.

A comparasion among different variant of gradient descent algorithm

Functional gradient boosting based on residual network perception

Ddpg Pytorch ⭐ 21

Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite

Robustopt ⭐ 21

A centralized repository for a variety of clean machine learning examples.

Minimalistic Multiple Layer Neural Network From Scratch In Python ⭐ 21

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Kernel_hmc ⭐ 21

Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"

https://arxiv.org/pdf/2007.05094.pdf An Easy-To-Use Code Generator for Gradients and Hessians

Gradient Boosted Normalizing Flows ⭐ 21

We got a stew going!

Bicubic_interp Tensorflow ⭐ 21

A differentiable bicubic interpolation module for TensorFlow

Variational Autoencoder ⭐ 21

Chainer implementation of Variational AutoEncoder (VAE) M1 / M2 / M1+M2

Astrohog ⭐ 20

Set of tools for the analysis correlations using the Histograms of Oriented Gradients

Admm Neuralnetworks ⭐ 20

Training Neural Networks Without Gradients: A ADMM Approach

Mongeampereflow ⭐ 20

Continuous-time gradient flow for generative modeling and variational inference

Simultaneous perturbation stochastic approximation Python code

Probabilistic_line_search ⭐ 20

Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.

Interpolated Policy Gradient With Ppo For Robotics Control ⭐ 20

Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gradient and Hindsight Experience Replay (HER)

Policy Gradient Importance Sampling ⭐ 20

Policy gradient reinforcement learning algorithm with importance sampling

Noisy K Fac ⭐ 20

Natural Gradient, Variational Inference

A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms

Grad Cam Pycaffe ⭐ 20

grad-CAM visulization technique of pycaffe, regression task of Medical Image.

Tf Hypergrad ⭐ 20

simple example of gradient-based hyperparameter optimization using tensorflow

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

Implementation of clipped action policy gradient (CAPG) with PPO and TRPO

Basic Image Processing ⭐ 19

Implementation of Basic Digital Image Processing Tasks in Python / OpenCV

Minineuralnets ⭐ 19

A framework for mini neural networks (perceptrons), written from scratch in python. The goal of the project is to demystify the workings of a neural network and various training algorithms by providing code written from scratch for the simplest neural network one could have.

Kwta Activation ⭐ 19

Miniflow ⭐ 19

Recreation of core tensorflow functionality: linear and sigmoid layers, forward and back prop, stochastic gradient descent

Autohoot ⭐ 19

Automatic High-Order Optimization for Tensors

Algorithm: Decentralized Parallel Stochastic Gradient Descent

some RL algorithms

Logisticregression ⭐ 19

Logistic Regression classifier written in python

Pytorch Rdpg ⭐ 18

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

Pmgi_aaai2020 ⭐ 18

Code of paper Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity

Histogram Of Oriented Gradients

Python2ai ⭐ 18

从零开始学习人工智能

Gradflow Check ⭐ 18

Check gradient flow in Pytorch

Dankware ⭐ 18

♦️ Python package with various features! (and rizz) ♦️

Reproducibilityincontinuouspolicygradientmethods ⭐ 18

These are experiments for examining reproducibility in Policy Gradient RL algorithms in Continuous domains. Mainly using the Rllab implementation.

Learning To Learn By Pytorch ⭐ 18

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

Keras_novograd ⭐ 18

Keras implementation of NovoGrad

Ranking Policy Gradient

Pycon2016_talk ⭐ 18

The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting

Simple Implementation Of Ml Algorithms ⭐ 17

My simplest implementations of common ML algorithms

Gradient_regularized_gan ⭐ 17

Code for "Gradient descent GAN optimization is locally stable"

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

Blackjack Sgd ⭐ 17

A simple bot that learns how to play blackjack through real-time stochastic gradient descent

Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19

Machine Learning Framework

Phaenotyp ⭐ 17

Phänotyp allows to perform genetic mutation of architectural structures. Furthermore it can be used to analyze moving shapes. This is especially useful when working on kinematic architectural projects. The tool is focusing on early stages of the design process and can be used for free without any warranty. If you want to participate in the project please get in contact via:

Sutton_barto ⭐ 17

Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction

Gradient Energy Matching ⭐ 17

Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".

Python interface to RADEX

Dvo_python ⭐ 16

Coding dense visual odometry in a little more than a night (yikes)!

Ml_from_scratch ⭐ 16

Implementation of basic ML algorithms from scratch in python...

Neural Pgd ⭐ 16

This code implements the neural proximal gradient descent (PGD) algorithm proposed in https://arxiv.org/abs/1806.03963. The idea is to unroll the proximal gradient descent algorithm and model the proximal using a neural network. Adopting residual network (ResNet) as the proximal, a recurrent neural net (RNN) is implemented to learn the proximal. The code is flexible to incorporate various training costs such as pixel-wise l1/l2 cost, adversarial GAN, LSGAN, and WGAN.

Ascii Net ⭐ 16

A little experiment using neural networks to generate ASCII art

Inversionson ⭐ 16

Full-Waveform Inversion workflow manager which automates the inversion process.

Reinforcement_learning_playground ⭐ 16

Playground for reinforcement learning algorithms implemented in TensorFlow

Structured Gradient Tree Boosting

Keras Padam ⭐ 16

Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"

Fully Decoupled Neural Network Learning Using Delayed Gradients (FDG)

L0 Smoothing ⭐ 16

Implementation of algorithm in the paper 'Image Smoothing via L0 Gradient Minimization"

Gbm Intro ⭐ 16

GBM intro talk (with R and Python code)

Clever Robustness Score ⭐ 16

Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach,” ICLR 2018

Glacier Flow Model ⭐ 16

Modeling glaciers on a digital elevation model (DEM) based on mass balance and a modified D8 flow algorithm applied to ice.

Py_wallpaper ⭐ 15

A script written in Python to generate colorful gradient-pattern wallpapers.

DRACO: Byzantine-resilient Distributed Training via Redundant Gradients

Policy Gradient Methods ⭐ 15

Modular PyTorch implementation of policy gradient methods

Parallel Sgd ⭐ 15

Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python.

End-to-End Learning for Simultaneously Generating Decision Map and Multi-Focus Image Fusion Result

Advanced_machine_learning ⭐ 15

Color Texture Shape ⭐ 15

This repo implements the algorithms to extract the color, texture, and shape features including color histogram, color correlogram, local binary pattern histogram, and histogram of oriented gradient.

Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm

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).

Partdetectordisovery ⭐ 15

Code of the paper "Part Detector Discovery in Deep Convolutional Neural Networks" by Marcel Simon, Erik Rodner and Joachim Denzler

Code for CVPR2020 paper QEBA: Query-Efﬁcient Boundary-Based Blackbox Attack

Prescient ⭐ 14

Codebase for PRESCIENT (Potential eneRgy undErlying Single Cell gradIENTs) for generative modeling of single-cell time-series.

Tf Sparse Fit ⭐ 14

A library implementing various linear sparse fitting techniques. Uses Tensorflow for running on GPU.

Dropgrad ⭐ 14

Regularizing Meta-Learning via Gradient Dropout

Steingrad ⭐ 14

Code release for the ICLR paper

Videodcgan ⭐ 14

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

Reversible Raytracer ⭐ 14

a fully-differentiable graphical raytracer

Vanillaml ⭐ 14

A vanilla machine learning library in Python

Tensorflow Bicubic Downsample ⭐ 14

tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.

Reinforcement Learning ⭐ 14

Collageradiomics ⭐ 14

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

Ngboost Experiments ⭐ 14

Play around with NGBoost and compare with LightGBM and XGBoost

Autograd Lib ⭐ 14

Tutorial on GANs

Python OpenCV Projects and Notes.

Gradfeat20 ⭐ 14

Gradients as Features for Deep Representation Learning

Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder and reinforcement learning. ICML 2019

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