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Search results for jupyter notebook gradient
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jupyter-notebook
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170 search results found
Deeprl Agents
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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)
Obfuscated Gradients
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846
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Optml_course
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761
EPFL Course - Optimization for Machine Learning - CS-439
Wgan Tensorflow
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557
a tensorflow implementation of WGAN
Dl4g
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404
Example code for the Siggraph Asia Tutorial CreativeAI
Tensorflow Multigpu Vae Gan
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399
A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.
Mth594_machinelearning
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306
The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
Multihopkg
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252
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
Hands On Deep Learning Algorithms With Python
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241
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
Guided Evolutionary Strategies
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235
Guided Evolutionary Strategies
Mirror
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221
Visualisation tool for CNNs in pytorch
Spytorch
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218
Tutorial for surrogate gradient learning in spiking neural networks
Pytorch Lesson Zh
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214
pytorch 包教不包会
Dl Workshop
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200
Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!
Machine Learning
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195
Notes for machine learning
Integratedgradients
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189
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
Infiniteboost
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177
InfiniteBoost: building infinite ensembles with gradient descent
Tracin
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156
Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)
Agem
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155
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
Deep Viz Keras
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144
Implementations of some popular Saliency Maps in Keras
Symplectic Gradient Adjustment
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142
A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
Best Deep Learning Optimizers
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140
Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
Path_explain
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134
A repository for explaining feature attributions and feature interactions in deep neural networks.
Far Ho
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133
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
Udacity Machine Learning Nanodegree
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117
All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.
Visual Attribution
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117
Pytorch Implementation of recent visual attribution methods for model interpretability
Hands On Gradient Boosting With Xgboost And Scikit Learn
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116
Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
Invertinggradients
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109
Algorithms to recover input data from their gradient signal through a neural network
Gradcam_plus_plus Pytorch
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102
A Simple pytorch implementation of GradCAM and GradCAM++
Deep Learning Specialization Coursera
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92
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
Reinforcementlearning Atarigame
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87
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
Mc_gradients
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87
Machine Learning Numpy
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84
Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!
Notebooks
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78
A collection of Jupyter/IPython notebooks
Attributionpriors
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75
Tools for training explainable models using attribution priors.
Learningtolearn
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70
Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.
Rl Workshop
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69
Reinforcement Learning Workshop for Data Science BKK
Backdrop
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68
Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.
Machine Learning Portfolio
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67
Machine learning portfolio
Minigrad
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66
A minimal implementation of autograd (in pure Python) 🍰
Coveragepathplanning
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64
Code pertaining to coverage path planning and area division.
Detecting Road Features
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63
Detecting Road Features: identifying lane and vehicles boundaries in a video.
Synthetic_gradients_explained
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63
This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube
Vehicle Tracking 2
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60
A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).
The_evolution_of_gradient_descent
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60
This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube
Pydata Gbrt Tutorial
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60
IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"
Optimization Fivt
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59
Lectures on optimization methods
Lane Lines Detection Python Opencv
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56
Lane Lines Detection using Python and OpenCV for self-driving car
Rl
⭐
55
Reading Group on Reinforcement Learning topics
Csgmcmc
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54
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
Diffgrad
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51
diffGrad: An Optimization Method for Convolutional Neural Networks
Memory Efficient Maml
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48
Memory efficient MAML using gradient checkpointing
Conjugate Gradient
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45
Painless conjugate gradient notebooks
Ai Projects
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45
AI项目(强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理)
Torch Policy Gradient
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44
Deterministic Policy Gradient using torch7
Machine_learning_course
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44
Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
Ntk
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43
Code for experiments in my blog post on the Neural Tangent Kernel: https://rajatvd.github.io/NTK
Mathematics For Machine Learning And Data Science Specialization Coursera
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42
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Artificial Neural Networks With Jupyter
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41
Artificial Neural Networks - Gradient descent, BFGS, Regularization with Jupyter notebook
S_gd2
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40
Stress-based Graph Drawing by Stochastic Gradient Descent
Sdc Advanced Lane Finding
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40
Pymlviz
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39
Interactive machine learning algorithm visualisation using Python Jupyter notebooks
Tf Fed Demo
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36
A federated learning demo for AlexNet on CIFAR-10 dataset, basing on Tensorflow.
Policy Gradient Methods
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35
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Fcn Tensorflow
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35
An Implementation of Fully Convolutional Networks in Tensorflow.
Simple Linear Regression Notebook
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35
Simple demo of linear regression built with numpy in a jupyter notebook.
Xdream
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34
gradient-free act max for visual neurons
Chainer Seqgan
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34
implementation of SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Rrr
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34
Code/figures in Right for the Right Reasons
Dann_tf2.0
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33
DANN in TensorFlow 2.0
Sgld
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33
Softmaxgradient Lrp
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32
Invariant Risk Minimization
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32
Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
Hyperpolarized Mri Toolbox
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31
The goal of this toolbox is to provide open-source research-level and prototyping software tools for hyperpolarized MRI experiments. It is currently based on MATLAB/Octave code, and includes code for designing radiofrequency (RF) pulses, imaging gradients, data reconstruction, and data analysis. doi: 10.5281/zenodo.1198915
Fastai2 Tabular Baselines
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30
A few baselines with a standard tabular model
Adversarial Robustness Public
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30
Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"
Variance_reduced_neural_networks
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29
Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
Optimal Transport
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28
Optimal transport and generalizations
Ensemble Methods Notebooks
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28
A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
Ars Reparameterization
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28
Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
Sgdoptim.jl
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27
A julia package for Gradient Descent and Stochastic Gradient Descent
Decision Trees For Ml
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27
Building Decision Trees From Scratch In Python
Machine Learning Regression
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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
Robustness And Interpretability
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25
Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".
Learning Rate
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25
Implementation of Learning Rate Finder, SGDR and Cyclical Learning Rate in Keras
Sgd From Scratch
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25
Stochastic gradient descent from scratch for linear regression
Advanced Gradient Obfuscating
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25
Take further steps in the arms race of adversarial examples with only preprocessing.
Contour Stochastic Gradient Langevin Dynamics
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25
An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
Math Of Intelligence
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24
Challenge solutions to Siraj Raval's Math of Intelligence course.
Gradient_analysis
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24
Sklearn Gbmi
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24
scikit-learn gradient-boosting-model interactions
Error Feedback Sgd
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24
SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847
Pytorch Pl Variance Reduction
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24
Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution, AAAI 2020 and NeurIPS 2019 Bayesian Deep Learning Workshop
Lane Detection With Opencv
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24
Apply computer vision to label the lanes in a driving video
Conv_visualiser
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23
Python Package for Visualising Convolution Neural Network Features and Intermediate Activation.
Optimizers.numpy
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23
Nextai Machinelearning
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21
Materials for the NextAI Technical Stream Course on Machine Learning
Quantumcircuitbornmachine
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21
gradient based training of Quantum Circuit Born Machine
Newbie_neural_network_practice
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21
适合新手学习的神经网络实践教程+代码。a awesome neural network practice project for newbie.我的CSDN博客:
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