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556 search results found

Gradient_decode_dicom ⭐ 46

🏨Gradient Health DICOM operation for Tensorflow

Mixed Precision Pytorch ⭐ 46

Training with FP16 weights in PyTorch

TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.

Gradient Based Sample Selection ⭐ 44

Automatic Speech Recognition ⭐ 43

Automatic Speech Recognition using Tensorflow

Influence_boosting ⭐ 43

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)

Gradient-based hyperparameter optimization package with TensorFlow

Mathematics For Machine Learning And Data Science Specialization Coursera ⭐ 42

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

Spaceopt ⭐ 42

Hyperparameter optimization via gradient boosting regression

Mpi_learn ⭐ 42

Distributed learning with mpi4py

Deep-Learning framework from scratch

Policy_gradients_to_beat_pong ⭐ 41

This is the code for the "How to Beat Pong Using Policy Gradients (LIVE)" by Siraj Raval on Youtube

Improved Deep Leakage From Gradients ⭐ 41

The code for "Improved Deep Leakage from Gradients" (iDLG).

A Python implementation of the gradient REBAR estimator.

Theano_pyglm ⭐ 41

Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and network priors.

Gradient Boosted Decision Tree ⭐ 41

GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装

Ml Dl Implementation ⭐ 41

An implementation of ML and DL algorithms from scratch in python using nothing but NumPy and Matplotlib.

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

Cura Postprocessing Scripts ⭐ 40

collection of Ultimaker postprocessing script

Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)

Heated_up_softmax_embedding ⭐ 40

Project page for Heated-up Softmax Embedding

Pytorch Word2vec ⭐ 40

Averaged Stochastic Gradient Descent Classifiers

Conditional Seqgan Tensorflow ⭐ 39

Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

To Ascii ⭐ 39

Convert videos, images, gifs, and even live video to ascii art! (Now with color support!)

Portrain Gan ⭐ 39

torch code to decode (and almost encode) latents from art-DCGAN's Portrait GAN

Dirichlet Vae Topic Models ⭐ 39

implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow

Abstractive_summarization ⭐ 39

Byte Cup 2018国际机器学习竞赛 23 名（水滴队）代码

Ram_modified ⭐ 38

"Recurrent Models of Visual Attention" in TensorFlow

Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks" (accepted by IJCAI 2020)

Masked Convolutional Flow

Wgan Gp Tensorflow ⭐ 37

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

Backpropagation_explained ⭐ 37

This is the code for "Backpropagation Explained" By Siraj Raval on Youtube

Sib_meta_learn ⭐ 37

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

Meta Optim Public ⭐ 36

Understanding Short-Horizon Bias in Stochastic Meta-Optimization

Proxprop ⭐ 35

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

an interface to semi-empirical quantum chemistry methods implemented with pytorch

Advanced Lane Finding ⭐ 35

Advanced lane finding

Rl_algorithms ⭐ 35

I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really understanding them.

Easy terminal colors, with chainable methods.

Autoclip ⭐ 34

Adaptive Gradient Clipping

Visualizing Deep Networks by Optimizing with Integrated Gradients (I-GOS)

Tensorflow implementation of preconditioned stochastic gradient descent

Spectral Stein Grad ⭐ 33

Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)

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

Reinforce_tutorial ⭐ 32

A small collection of code snippets and notes explaining the foundations of the REINFORCE algorithm.

Se_relativisticgan ⭐ 31

Keras framework for speech enhancement using relativistic GANs

Implementation of Stochastic Gradient MCMC algorithms

Deep Reinforcement Learning ⭐ 31

Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning

Dni Tensorflow ⭐ 30

DNI (Decoupled Neural Interfaces using Synthetic Gradients) Implementation with Tensorflow.

Lumiere For 2.79 ⭐ 30

Interactive Lighting for Blender

Conveiro ⭐ 30

Visualization of filters in convolutional neural networks

Text Infilling Gradient Search ⭐ 30

Code for ACL2019 paper "TIGS: An Inference Algorithm for Text Infilling with Gradient Search"

Sinkhorn Policy Gradient.pytorch ⭐ 29

Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"

Rlcrypto ⭐ 29

A crypto currency live-trading backend for Huobi

Keras_gradient_noise ⭐ 29

Add gradient noise to any Keras optimizer

Reducedvariancereparamgradients ⭐ 29

Reducing Reparameterization Gradient Variance code.

Hognumpy ⭐ 29

Histogram of oriented gradients (HOG) Python implementation using NumPy.

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

Optimization_of_image_description_metrics_using_policy_gradient_methods ⭐ 29

Tensorflow implement of paper: Optimization of image description metrics using policy gradient methods

Openconcept ⭐ 28

OpenConcept: A toolkit for conceptual MDAO of aircraft with unconventional propulsion architectures

Variational Autodecoder ⭐ 28

A Generic Implementation of Variational Auto-Decoder (https://arxiv.org/pdf/1903.00840.pdf)

Inkscape Eps Export ⭐ 28

AI compatible EPS export for Inkscape

Implementation of Multi-Agent Deep Deterministic Policy Gradients

Adam Optimizer ⭐ 28

Implemented Adam optimizer in python

Ensemble Methods Notebooks ⭐ 28

A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)

Optimization in Python: Linear and non-linear optimization methods.

Pylsd Nova ⭐ 27

Python bindings for Line Segment Detector (LSD)

Adversarial Text ⭐ 27

Generate adversarial text via gradient methods

Icml17_relu ⭐ 27

Policy Gradient Pong ⭐ 27

tensorflow implementation of Andrej Karpathy's blog about reinforcement learning. http://karpathy.github.io/2016/05/31/rl/

sopt:A simple python optimization library

Fast Individual Gradients With Autodiff ⭐ 26

Machine Learning Regression ⭐ 25

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

implementation of our self-guided and self-regularized actor-critic algorithm

Deep_dream ⭐ 25

DeepDream psychodelic image generator.

Torchingup ⭐ 25

TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement OpenAI’s SpinningUp repository, which contains similar algorithms implemented in Tensorflow.

Statistical adaptive stochastic optimization methods

Tf2 Gradient Checkpointing ⭐ 25

Simple gradient checkpointing for eager mode execution

Deform_conv3d_pytorch_op ⭐ 25

An Operation for 3D Deformable Convolution in Pytorch 0.3

Linearregression ⭐ 24

An implementation of Linear Regression from scratch in python 📈

Gradient_starvation ⭐ 24

Gradient Starvation: A Learning Proclivity in Neural Networks

Learning to Learn: Gradient-free Optimization framework

Kzhang Cs205 L0 Smoothing ⭐ 23

Parallel Image Smoothing via L0 Gradient Minimization

Learning Action-Value Gradients in Model-based Policy Optimization

Pysgmcmc ⭐ 23

Stochastic Gradient MCMC Methods for Tensorflow

Visualizing_momentum ⭐ 23

Visualizing Gradient Descent with Momentum in Python

Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"

Nmf Tensorflow ⭐ 23

Non-negative Matrix Factorization (NMF) Tensorflow Implementation

Policy Gradient And Actor Critic Keras ⭐ 23

Simple implementation of Policy Gradient (PG)/ Actor-Critic with keras

Only_numpy_basic ⭐ 23

This repository contains code for my only numpy basic.

Tf Examples ⭐ 23

TensorFlow examples

RBF Network using Theano, climin, and sklearn.

Deep Reinforcement Learning ⭐ 23

A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.

Stochastic Gradient Riemannian Langevin Dynamics

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