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Search results for tensorflow gradient
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91 search results found
Deeprl Agents
⭐
2,004
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Fcn.tensorflow
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1,255
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
Enzyme
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1,142
High-performance automatic differentiation of LLVM and MLIR.
Tf Explain
⭐
934
Interpretability Methods for tf.keras models with Tensorflow 2.x
Cppnumericalsolvers
⭐
766
a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)
Wgan Tensorflow
⭐
557
a tensorflow implementation of WGAN
Wassersteingan.tensorflow
⭐
415
Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
Tensorflow Tutorial Samples
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356
TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例
Tensorflow Resources
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327
Curated Tensorflow code resources to help you get started with Deep Learning.
Hands On Deep Learning Algorithms With Python
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241
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
Ddpg Aigym
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220
Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
Tensorflow Adversarial
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204
Crafting adversarial images
Fsharp Ai Tools
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195
TensorFlow API for F# + F# for AI Models eDSL
Grad_cam_plus_plus
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176
A generalized gradient-based CNN visualization technique
Agem
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155
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
Terngrad
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152
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
Elasticdeform
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141
Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).
See Rnn
⭐
135
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
Adabound Tensorflow
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135
Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019)
Path_explain
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134
A repository for explaining feature attributions and feature interactions in deep neural networks.
Far Ho
⭐
133
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
Guildsman
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125
TensorFlow library for Clojure
Gradient_boosting_tensorflow_xgboost
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119
Benchmarking Gradient Boosting in TensorFlow and XGBoost
Optimizer Visualization
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101
Visualize Tensorflow's optimizers.
Reinforcement_learning
⭐
89
강화학습에 대한 기본적인 알고리즘 구현
Gradient_reversal_keras_tf
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86
Keras implementation of a gradient reversal layer for the Tensorflow backend
Gradient
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85
This repository serves as a public issue tracker and documentation host for Gradient, full TensorFlow binding for .NET
Learning To Learn
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84
TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
Unified Gan Tensorflow
⭐
78
A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
Attributionpriors
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75
Tools for training explainable models using attribution priors.
Billionsongs
⭐
65
Gradient + TensorFlow + GPT-2-powered "AI" song lyrics generator, built as an ASP.NET Core website.
Eunn Tensorflow
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62
Efficient Unitary Neural Network(EUNN) implementation in Tensorflow
Tensorflow Cpp Op Example
⭐
51
Simple example of implementing a new Tensorflow operation and its gradient in C++.
Permutohedral_lattice
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48
Permutohedral Lattice C++/CUDA implementation + TensorFlow Op (CPU/GPU)
Photo Editing Tensorflow
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47
Photo Optimizing Adversarial Net with Policy Gradient Method
Gradient_decode_dicom
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46
🏨Gradient Health DICOM operation for Tensorflow
Msvag
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44
TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
Unitytensorflowkeras
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43
Unity In Editor Deep Learning Tools. Using KerasSharp, TensorflowSharp, Unity MLAgent. In-Editor training and no python needed.
Automatic Speech Recognition
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43
Automatic Speech Recognition using Tensorflow
Rfho
⭐
42
Gradient-based hyperparameter optimization package with TensorFlow
Cabs
⭐
40
Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)
Dirichlet Vae Topic Models
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39
implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow
Sgrnn
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39
Tensorflow implementation of Synthetic Gradient for RNN (LSTM)
Conditional Seqgan Tensorflow
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39
Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow
Ram_modified
⭐
38
"Recurrent Models of Visual Attention" in TensorFlow
Tf Fed Demo
⭐
36
A federated learning demo for AlexNet on CIFAR-10 dataset, basing on Tensorflow.
Fcn Tensorflow
⭐
35
An Implementation of Fully Convolutional Networks in Tensorflow.
Neural Net
⭐
35
An educational neural net library in Rust
Psgd_tf
⭐
34
Tensorflow implementation of preconditioned stochastic gradient descent
Dni Tensorflow
⭐
30
DNI (Decoupled Neural Interfaces using Synthetic Gradients) Implementation with Tensorflow.
Keras_gradient_noise
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29
Add gradient noise to any Keras optimizer
Optimization_of_image_description_metrics_using_policy_gradient_methods
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29
Tensorflow implement of paper: Optimization of image description metrics using policy gradient methods
Policy Gradient Pong
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27
tensorflow implementation of Andrej Karpathy's blog about reinforcement learning. http://karpathy.github.io/2016/05/31/rl/
Adversarial Text
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27
Generate adversarial text via gradient methods
Tf2 Gradient Checkpointing
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25
Simple gradient checkpointing for eager mode execution
Sgmcmc
⭐
25
sgmcmc: a stochastic gradient MCMC package for R
Deep_dream
⭐
25
DeepDream psychodelic image generator.
Tf Examples
⭐
23
TensorFlow examples
Nmf Tensorflow
⭐
23
Non-negative Matrix Factorization (NMF) Tensorflow Implementation
Pysgmcmc
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23
Stochastic Gradient MCMC Methods for Tensorflow
Bicubic_interp Tensorflow
⭐
21
A differentiable bicubic interpolation module for TensorFlow
Rlflow
⭐
20
A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms
Tf Hypergrad
⭐
20
simple example of gradient-based hyperparameter optimization using tensorflow
Noisy K Fac
⭐
20
Natural Gradient, Variational Inference
Probabilistic_line_search
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20
Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.
Miniflow
⭐
19
Recreation of core tensorflow functionality: linear and sigmoid layers, forward and back prop, stochastic gradient descent
Hog
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18
Histogram Of Oriented Gradients
Svgd
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17
Tensorflow implementation of Stein Variational Gradient Descent (SVGD)
Gradient Estimators In Stochastic Computation Graphs
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16
Gradient Estimation in Stochastic Computation Graphs using TensorFlow.
Digitz
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15
Tf Sparse Fit
⭐
14
A library implementing various linear sparse fitting techniques. Uses Tensorflow for running on GPU.
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.
Bert Summarization
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14
Tensorflow implementation of an abstractive summarization model using pre-trained language models
Course 02456 Sparsemax
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14
TensorFlow and Numpy implementation of sparsemax
Ncsn Tf2.0
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13
Reproduction of "Generative Modeling by Estimating Gradients of the Data Distribution" (NeurIPS, 2019) in Tensorflow 2.0
Tensorflow Mle
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13
Some examples on computing MLEs using TensorFlow
Tf_optimizers
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13
Optimizers in tensorflow from scratch
Receptivefield
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13
Gradient based receptive field estimation for Convolutional Neural Networks
Ddpg
⭐
12
Tensorflow implementation of Deep Deterministic Policy Gradients
Nips 2017 Learning To Run
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12
Reinforcement learning environments with musculoskeletal models
Swiftxgboost
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11
Swift wrapper for XGBoost gradient boosting machine learning framework with Numpy and TensorFlow support.
Netsimilarity
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11
Input Similarity from the Neural Network Perspective
Ocaml Tensorflow Eager
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11
OCaml bindings for TensorFlow Eager mode
Crossgrad
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11
Tensorflow: Generalizing Across Domains via Cross-Gradient Training
Pyreinforce
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10
Deep Reinforcement Learning library for Python
Federatedlearningwithsvrg
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10
The code in order to implement SVRG on Federated System
Ghm_loss
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10
The tensorflow implementation of GHM loss include class loss and regression loss. GHM loss is peoposed in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral).
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.
Salty Wet Man
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10
Online content control dashboard. Binary classification filter/flag for inappropriate NSFW content with automated reporting
Ddpg_numpy_only
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9
Implemenation of DDPG with numpy only (without Tensorflow)
Tensorflow Ghm Loss
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9
The unofficial tensorflow implementation of loss weights of in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral). With Colab.
Coursera Ng Improving Deep Neural Networks Hyperparameter Tuning Regularization And Optimization
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9
Short description for quick search
Hog Svm Tf
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9
Implementing -- Histogram of oriented gradients / Support Vector Machine / TensorFlow
Hands On Machine Learning
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8
Machine learning practice based on the book Hands On Machine Learning with Scikit-Learn & Tensorflow by Aurelien Geron.
Bitflow
⭐
8
模仿 TensorFlow 写的极简深度学习框架,仅供练习目的
Object Detection Segmentation
⭐
8
How to run object detection models on Gradient including re-training and inference
Cnn Visualizer
⭐
8
Visualization of the filters of VGG16, via gradient ascent in input space.
Adversarialattackinceptionv3
⭐
8
Attack InceptionV3 net using FGM( fast gradient method) and show saliency maps.
Pytorch Tvnet
⭐
7
TVNet to generate optical flow in pytorch
Makesparsetf
⭐
7
Tensorflow function to make a tensor sparse (gradients supported)
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