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170 search results found

Quantumcircuitbornmachine ⭐ 21

gradient based training of Quantum Circuit Born Machine

Nextai Machinelearning ⭐ 21

Materials for the NextAI Technical Stream Course on Machine Learning

Hands On Ai Tools ⭐ 20

Hands-on AI tools.

Accelerated Bregman Proximal Gradient Methods

Rinse Over Run ⭐ 20

Winners of the Sustainable Industry: Rinse Over Run competition

Pydata London 2018 ⭐ 20

Slides and notebooks for my tutorial at PyData London 2018

Carnd Advanced Lane Lines P4 ⭐ 19

Udacity Self Driving Car Nanodegree - Advance Lane Line Finder on a Video Stream

Adaptive_gd ⭐ 19

Adaptive gradient descent without descent

Stochastic Gradient Langevin Dynamics for Bayesian learning

Python2ai ⭐ 18

从零开始学习人工智能

Tensorflow implementation of Stein Variational Gradient Descent (SVGD)

Relative Gradient Jacobian ⭐ 17

Relative gradient optimization of the Jacobian term in unsupervised deep learning.

Ml_from_scratch ⭐ 16

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

Deep_rl_pong_keras ⭐ 16

Deep Reinforcement Learning Policy Gradients Method - Pong game - Keras

Gradient Estimators In Stochastic Computation Graphs ⭐ 16

Gradient Estimation in Stochastic Computation Graphs using TensorFlow.

Whitebox Part1 ⭐ 16

In this part, i've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

Visual Memorability Through Caffe ⭐ 15

CNN, Caffe, LaMem,Azure

Cs236756 Intro To Ml ⭐ 15

Jupyter Notebook tutorials for the Technion's CS 236756 course "Introduction to Machine Learning"

Learning To Learn By Gradient Descent By Gradient Descent ⭐ 14

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

Deepdesign2019 ⭐ 14

Welcome to the code repository for ARCH 660/662, the Deep Design Studio! Please Scroll down to the bottom of the page for how to use the code in this repository

Pynq Z2 Improc ⭐ 14

IMAGE PROCESSING ON XILINX PYNQ Z2 (CANNY, SOBEL)

A toolkit for interpreting and analyzing neural networks (vision)

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

Course 02456 Sparsemax ⭐ 14

TensorFlow and Numpy implementation of sparsemax

Deep Reinforcement Learning ⭐ 14

To keep track and showcase

Grokkingdeeplearning ⭐ 13

This repository will contain my take on Andrew Trask's book GrokkingDeepLearning.

Covadapt ⭐ 13

Low rank adaptation of covariance matrices for nuts sampling in pymc3

Receptivefield ⭐ 13

Gradient based receptive field estimation for Convolutional Neural Networks

Keras Normalized Optimizers ⭐ 13

Wrapper for Normalized Gradient Descent in Keras

Learning Explanations Hard To Vary ⭐ 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"

ML Powered Danish Sentiment Model

Simulation ⭐ 13

Pymc_examples ⭐ 13

Small repo for WIP pymc examples

Adversarialmnist ⭐ 13

Repo for generating images which fool a trained CNN on MNIST

Pytorch_ps_mpi ⭐ 12

PyTorch parameter server with MPI

Spytorch ⭐ 12

Tutorial for surrogate gradient learning in spiking neural networks

Reformer Chinese ⭐ 11

reformer-pytorch中文版本，简单高效的生成模型。类似GPT2的效果

Crossgrad ⭐ 11

Tensorflow: Generalizing Across Domains via Cross-Gradient Training

Optimization_algos ⭐ 11

basic implementation of a bunch of optimization algorithms

Msc Coding 2 ⭐ 11

Course Materials for MSc Creative Computing Coding 2: Advanced Frameworks

Fooling_neural_network Interpretations ⭐ 10

This repository provides a PyTorch implementation of "Fooling Neural Network Interpretations via Adversarial Model Manipulation". Our paper has been accepted to NeurIPS 2019.

Rl_at_ammi ⭐ 10

Reinforcement Learning Tutorials for the African Masters of Machine Intelligence

Adversarial ⭐ 10

Creating and defending against adversarial examples

Estimating Gradients Without Replacement ⭐ 10

Estimating Gradients for Discrete Random Variables by Sampling without Replacement

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

Understanding Momentum ⭐ 10

Code for the paper "Understanding the Role of Momentum in Stochastic Gradient Methods"

Datasciencework ⭐ 9

This repository contains some of my projects in Exploratory Data Analysis, Statistical Inference, Regression Models and other aspects of Practical Machine Learning

Integratedgradientstf ⭐ 9

Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between two tensors.

Pytorch implementation of the Deep Deterministic Policy Gradients Algorithm for Continuous Control

Ds3_practical_optim_for_ml ⭐ 9

Notebooks from DS3 course on practical optimization

Tutorial Machine Learning Based Survival Analysis ⭐ 9

This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosting Tree and XGBoost. All of them are implemented in R.

Machine Learning From Scratch ⭐ 9

Easy implementations of ML algorithm in Python code from scratch

Tensorflowexercise ⭐ 9

Reinforcementlearning ⭐ 9

Various python scripts for reinforcement learning algorithms.

Advanced Lane Finding ⭐ 8

Detect lane lines on a road using computer vision techniques

Opencl_fun ⭐ 8

Credit Risk Classification ⭐ 8

Machine learning playground for credit risk classification

Raoblackwellizedsgd ⭐ 8

A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions

Stable Opponent Shaping ⭐ 8

Pytorch implementation of Stable Opponent Shaping (https://openreview.net/pdf?id=SyGjjsC5tQ).

Cnn_gradient_analysis ⭐ 8

Train a convolutional neural network and analyze the gradients in the model to identify relationships in high dimensional spaces.

Gradientdescent_implementation ⭐ 8

Implement different variants of gradient descent in python using numpy

Dsci_572_sup Learn 2 ⭐ 8

DSCI 572: Supervised Learning II

Advanced Opt ⭐ 8

Presentations of the advanced topics in optimization

Hands On Machine Learning ⭐ 8

Machine learning practice based on the book Hands On Machine Learning with Scikit-Learn & Tensorflow by Aurelien Geron.

Beyond Gradient Descent for Regularized Segmentation Losses

Minibatch_wasserstein ⭐ 8

Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".

CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity

Optimization For Data Science ⭐ 7

Optimization for Data Science Course

Reinforcement_learning ⭐ 7

Contains baseline implementations of all RL algorithms using tabular and function approximations. Algorithms such as TD(0), MC, SARSA, Q-Learning and Policy Gradient methods.

Excel For Deep Learning ⭐ 7

Intro_rl_meetup ⭐ 7

Reinforcement Learning: All you need to know (Thessaloniki Machine Learning Meetup)

Jupyter Binder ⭐ 7

A collection of my random Jupyter notebooks, in a github repo so i can share them.

Twin Delayed Ddpg ⭐ 7

Pytorch Implementation of Twin Delayed Deep Deterministic Policy Gradients for Continuous Control

Credit_default ⭐ 7

In this project, credit card defaults are recognized using a gradient boosted tree model. The pipeline is structured with Apache Beam and Airflow, and the model is constructed in Tensorflow using Estimator method.

Gradient Frequency Neural Networks, in Python

Awesome Optimizers ⭐ 7

Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)

Machinelearningguide ⭐ 7

Summary Of Machine Learning Concepts

Factoredgatedautoencoder ⭐ 7

Implementation of the factored Gated Autoencoder (https://www.iro.umontreal.ca/~memisevr/pubs/rae.p

Reinforcement Learning Algorithms implemented using Python

Lecture notes from "Numerical Analysis for Artificial Intelligence" course I presented at UCSD, CSE department

Solids Classification 3d Cnn 3d Gradcam ⭐ 7

Here we introduce the problem of 3D solids classification with a CNN (spheres and octahedra). We implemented a 3D GradCam model, in order to underline the most relevant 3D volumes useful for classification.

Gradient Descent ⭐ 6

Let's learn gradient descent by using linear regression, logistic regression and neural networks!

Optimal Bidding Policy Using Policy Gradient In A Multi Agent Contextual Bandit Setting ⭐ 6

We use policy gradient to help agents learn optimal policies in a competitive multi-agent contextual bandit setting

Mypythonneuralnetwork ⭐ 6

A neural network class in Python built from scratch

Convex Optimization ⭐ 6

Convex Optimization (class deliverables & assignments)

Flatironschool_datascience ⭐ 6

repo for all things related to my work teaching data science at the Flatiron School for the 021119 cohort, full-time and part-time

Hamiltonian ⭐ 6

Speed up HMC with neural network gradient approximation

Infotaxis ⭐ 6

code for generating infotaxis trajectories

Gradient Descent ⭐ 6

gradient-descent is a package that contains different gradient-based algorithms. The package purpose is to facilitate the user experience when using optimization algorithms.

Livewire algorithm for image segmentation

Logistic_regression_numpy ⭐ 6

A logistic regressor class written in python, with the testing code against an example dataset.

Gradient Descent Variants ⭐ 6

My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python

Machine Learning Codebook ⭐ 6

Machine Learning Tutorial for those who are interested in ML

Tensorflow2.0_notebooks ⭐ 6

Implementation of a series of Neural Network architectures in TensorFow 2.0

Ist718_notes ⭐ 6

Carrot is a PyTorch neural network analysis tool using Dash.

Carnd Vehicle Detection P5 ⭐ 6

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