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106 search results found
Deep Reinforcement Learning
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23
A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
Resfgb
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22
Functional gradient boosting based on residual network perception
Natural Gradient Deep Q Learning
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21
Ddpg Pytorch
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21
Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite
Improving Mean Absolute Error Against Cce
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21
Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters
Rlr
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21
Deep Reinforcement Learning in R (Deep Q Learning, Policy Gradient, Actor-Critic Method, etc)
Minimalistic Multiple Layer Neural Network From Scratch In Python
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21
Minimalistic Multiple Layer Neural Network from Scratch in Python.
Nnnamedentity
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21
Named Entity Recognition (NER) models (neural and sparse) implemented based on package LibN3L
Deepops
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21
a mini Deep Learning framework supporting GPU accelerations written with CUDA
Pydata London 2018
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20
Slides and notebooks for my tutorial at PyData London 2018
Higher_order_invariance
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20
Code for "Accelerating Natural Gradient with Higher-Order Invariance"
Grad Cam Pycaffe
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20
grad-CAM visulization technique of pycaffe, regression task of Medical Image.
Deeppreconditioning
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19
Design preconditioners with a CNN to accelerate the conjugate gradient method.
Hog
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18
Histogram Of Oriented Gradients
Relative Gradient Jacobian
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17
Relative gradient optimization of the Jacobian term in unsupervised deep learning.
Gradient Energy Matching
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17
Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".
Simple Implementation Of Ml Algorithms
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17
My simplest implementations of common ML algorithms
Le
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17
Machine Learning Framework
Webdl Ddpg
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16
Deep Deterministic Policy Gradient with WebGL and CUDA
Keras Padam
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16
Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"
Whitebox Part1
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16
In this part, i've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
Deep_rl_pong_keras
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16
Deep Reinforcement Learning Policy Gradients Method - Pong game - Keras
Ddpg
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15
Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm
Bert Summarization
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14
Tensorflow implementation of an abstractive summarization model using pre-trained language models
Gradfeat20
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14
Gradients as Features for Deep Representation Learning
Videodcgan
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14
Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow
Tensorflow Bicubic Downsample
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14
tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.
Deep Reinforcement Learning
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14
To keep track and showcase
Tulip
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14
Scaleable input gradient regularization
Gee
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14
Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Deepdesign2019
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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
Netlens
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14
A toolkit for interpreting and analyzing neural networks (vision)
Reinforcement Learning
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14
Grokkingdeeplearning
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13
This repository will contain my take on Andrew Trask's book GrokkingDeepLearning.
Ddpg
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12
Tensorflow implementation of Deep Deterministic Policy Gradients
Robustbnns
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12
Code for paper "Robustness of Bayesian Neural Networks to Gradient-Based Attacks"
D3g
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12
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
Deepgradientcompression
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11
It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep gradient compression is a technique by which the gradients are compressed before they are being sent. This approach greatly reduces the communication bandwidth and thus improves multi node training.
Deep Learning Theano
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11
Theano
Grad Cam
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11
Grad-CAM (Gradient-weighted Class Activation Mapping)
Pyreinforce
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10
Deep Reinforcement Learning library for Python
Ddl Benchmarks
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10
ddl-benchmarks: Benchmarks for Distributed Deep Learning
Gradflow
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10
A small, educational autograd system with deep neural networks support
Cs229 Machine Learning Solar Energy Predictions
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10
Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are included.
Count Sketch Optimizers
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10
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
Deeplearning_ai_books
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10
黄海广博士整理的【吴恩达】深度学习笔记
Adax
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10
AdaX: Adaptive Gradient Descent with Exponential Long Term Momery
Ovis
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9
Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"
Ddpg
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9
Pytorch implementation of the Deep Deterministic Policy Gradients Algorithm for Continuous Control
Programming_assignments_of_deep_learning
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9
Keys for Programming Assignments of Coursera Course Deep Learning Specialization by Andrew Ng
Deepreinforcementlearningpapers
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9
Lsgd
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9
Repository for Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models
Deep Bayesian Quadrature Policy Optimization
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9
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
Neuralnetwork
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9
Neural Network implementation in Numpy and Keras. Batch Normalization, Dropout, L2 Regularization and Optimizers
Deepportfoliomanagement
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9
An implementation of the paper "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"
Adahessianjax
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9
Jax implementation of the AdaHessian optimizer
Coursera Ng Improving Deep Neural Networks Hyperparameter Tuning Regularization And Optimization
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9
Short description for quick search
Integratedgradientstf
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9
Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between two tensors.
Library
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9
Paper reading list
Rlin200lines
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9
PyTorch implementations of Reinforcement Learning algorithms in less than 200 lines
Policy Gradient Network Arduino
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9
Gradattnhash
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9
source code for paper "Accelerate Learning of Deep Hashing With Gradient Attention" (ICCV 2019)
Mxnet G
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8
MXNet-G is a deep learning framework designed based on MXNet (https://mxnet.incubator.apache.org/index.html). It allows you to train models with a novel distributed SGD (Stochastic Gradient Descent) algorithm named Grouping-SGD. A new parallelization scheme named GSP (Grouping Synchronous Parallel) is used in Grouping-SGD for distributed deep learning on heterogeneous clusters.
Digit Recognizer
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8
A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented
Object Detection Segmentation
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8
How to run object detection models on Gradient including re-training and inference
Nnlib
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8
🎓 Minimal neural networks library developed for educational purposes
Adversarialattackinceptionv3
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8
Attack InceptionV3 net using FGM( fast gradient method) and show saliency maps.
Cct Nn
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7
Deep learning library for CCT
Twin Delayed Ddpg
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7
Pytorch Implementation of Twin Delayed Deep Deterministic Policy Gradients for Continuous Control
Awesome Optimizers
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7
Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)
Reproducing Q Agrel
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7
Ideas from the paper https://arxiv.org/pdf/1811.01768v1.pdf
Tensorflow2.0_notebooks
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6
Implementation of a series of Neural Network architectures in TensorFow 2.0
Ddpg
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6
Deep Deterministic Policy Gradients in TF r2.0
Recurrent Multiagent Deep Deterministic Policy Gradient With Difference Rewards
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6
Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single agent tasks. These methods have further been extended to multiagent domains in cooperative, competitive or mixed environments. This paper primarily focuses on multiagent cooperative settings which can be modeled for several real world problems such as coordination of autonomous vehicles and warehouse robots. However, these systems suffer from several challenge
Lenet5
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6
LeNet 5 implementation to be used on MNIST Data
Learning_to_learn
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6
Learning to learn by gradient descent by gradient descent, Andrychowicz et al., NIPS 2016
Dd_opg
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6
Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
Flatironschool_datascience
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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
Giagrad
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6
Deep learning framework made by and for students.
Cifar10 Handson
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6
Hands-on prepared for one of my presentations that took place on Computer Vision's mini-course at student's orgranization called "Gradient" (Gdańsk University of Technology)
Geneticrnn
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6
A simple genetic training algorithm for recurrent neural networks
Playwithdeeplearning
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6
Ddpg Mujoco
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6
Solving MuJoCo environments with Deep Deterministic Policy Gradients
Deep Learning Distilled
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5
Notes on some important deep learning topics and paper summaries
Drl.jl
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5
deep reinforcement learning for julia
Reinforcement Learning With Tensorflow 2.0
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5
Tensorflow 2.0 Reinforcement Learning
Simplest_deep_learning
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5
Dpsgd Optimizer
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5
Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with Gaussian noise during training.
Gradcam
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5
Tensorflow 2.2.0 implementation of GradCam
Tf Bgd
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5
Bayesian Gradient Descent Algorithm Model for TensorFlow
Explore Gradients
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5
Explore the problem of vanishing and exploding gradients
Deep Learning Specialization Notes
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5
Things about the DL specialization from Coursera.
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