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Search results for python gradient
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451 search results found
Reinforcement Learning An Introduction
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12,490
Python Implementation of Reinforcement Learning: An Introduction
Catboost
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7,564
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Pytorch Cnn Visualizations
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6,883
Pytorch implementation of convolutional neural network visualization techniques
Nevergrad
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3,792
A Python toolbox for performing gradient-free optimization
Pytorch Optimizer
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2,882
torch-optimizer -- collection of optimizers for Pytorch
Scikit Optimize
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2,700
Sequential model-based optimization with a `scipy.optimize` interface
Radam
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2,393
On the Variance of the Adaptive Learning Rate and Beyond
Seqgan
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1,801
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Rlpyt
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1,709
Reinforcement Learning in PyTorch
Ngboost
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1,543
Natural Gradient Boosting for Probabilistic Prediction
Gradify
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1,464
CSS gradient placeholders
Higher
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1,265
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
Sam
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1,261
SAM: Sharpness-Aware Minimization (PyTorch)
Innvestigate
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1,175
A toolbox to iNNvestigate neural networks' predictions!
Minpy
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1,123
NumPy interface with mixed backend execution
Gradient Free Optimizers
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1,072
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Keract
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1,030
Layers Outputs and Gradients in Keras. Made easy.
Tf Explain
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934
Interpretability Methods for tf.keras models with Tensorflow 2.x
Awesome Gradient Boosting Papers
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930
A curated list of gradient boosting research papers with implementations.
Ranger Deep Learning Optimizer
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910
Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase
Stylecloud
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714
Python package + CLI to generate stylistic wordclouds, including gradients and icon shapes!
Dreamerv2
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700
Mastering Atari with Discrete World Models
Densenet.pytorch
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632
A PyTorch implementation of DenseNet.
Ddpg Keras Torcs
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595
Using Keras and Deep Deterministic Policy Gradient to play TORCS
Solid
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518
🎯 A comprehensive gradient-free optimization framework written in Python
Hyperband
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515
Tuning hyperparams fast with Hyperband
Ghm_detection
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512
The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.
Backpack
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504
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
Gradient Centralization
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497
A New Optimization Technique for Deep Neural Networks
Deepexplain
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471
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
Grad Cam Pytorch
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438
PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps
Gradientdescentexample
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428
Example demonstrating how gradient descent may be used to solve a linear regression problem
Wassersteingan.tensorflow
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415
Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
Deepdist
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409
Distributed Deep Learning on Spark
Yellowfin
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402
auto-tuning momentum SGD optimizer
Dnc
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386
Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
Entmax
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378
The entmax mapping and its loss, a family of sparse softmax alternatives.
Tensorflow Tutorial Samples
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356
TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例
Pixelhouse
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344
A minimalist drawing library for making beautiful animations in python
Tensorflow Resources
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327
Curated Tensorflow code resources to help you get started with Deep Learning.
Pytorch Es
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293
Evolution Strategies in PyTorch
Yellowfin_pytorch
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293
auto-tuning momentum SGD optimizer
Gay
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291
Colour your text / terminal to be more gay. 🏳️🌈
Python Neural Network
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278
This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.
Greedy_infomax
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272
Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Pytorch Cnn Adversarial Attacks
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272
Pytorch implementation of convolutional neural network adversarial attack techniques
Hypergrad
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268
Exploring differentiation with respect to hyperparameters
Stein Variational Gradient Descent
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261
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
Vit Explain
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260
Explainability for Vision Transformers
Residual Flows
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256
code for "Residual Flows for Invertible Generative Modeling".
Gradientepisodicmemory
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244
Continuum Learning with GEM: Gradient Episodic Memory
Pg_travel
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243
Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
Pytorch_misc
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241
Code snippets created for the PyTorch discussion board
Fastbdt
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237
Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
Pytorch Maddpg
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231
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
Torch Dreams
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229
Flexible Feature visualization on PyTorch, for research and art 🔎 💻 🧠 🎨
Tinygbt
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224
A Tiny, Pure Python implementation of Gradient Boosted Trees.
Mirror
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221
Visualisation tool for CNNs in pytorch
Ddpg Aigym
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220
Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
Sklearn Compiledtrees
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219
Compiled Decision Trees for scikit-learn
Learningx
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213
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
Dni Pytorch
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210
Decoupled Neural Interfaces using Synthetic Gradients for PyTorch
Pytorch Ddpg
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207
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
Spins B
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204
Photonic optimization library
Tensorflow Adversarial
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204
Crafting adversarial images
Epg
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197
Code for the paper "Evolved Policy Gradients"
Python Cfonts
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183
Sexy fonts for the console
Numdifftools
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182
Solve automatic numerical differentiation problems in one or more variables.
Mcan Vqa
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181
Deep Modular Co-Attention Networks for Visual Question Answering
Grad_cam_plus_plus
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176
A generalized gradient-based CNN visualization technique
Phasic Policy Gradient
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175
Code for the paper "Phasic Policy Gradient"
Fullgrad Saliency
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172
Full-gradient saliency maps
Gradientinfill
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171
Imbalance Xgboost
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167
XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
Idnns
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166
explore DNNs via Infomration
Spinning Up Basic
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164
Basic versions of agents from Spinning Up in Deep RL written in PyTorch
Intro_to_the_math_of_intelligence
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153
This is the code for "Intro - The Math of Intelligence" by Siraj Raval on Youtube
Pytorch_workplace
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153
Random miniprojects with pytorch.
Terngrad
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152
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
Mariana
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151
The Cutest Deep Learning Framework which is also a wonderful Declarative Language
Pix2latent
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149
Code for: Transforming and Projecting Images into Class-conditional Generative Networks
Adatune
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144
Gradient based Hyperparameter Tuning library in PyTorch
Storchastic
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143
Stochastic Automatic Differentiation library for PyTorch.
Adversial_example_defense
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143
对抗性样本攻击与防御
Stochastic_gradient_push
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141
Stochastic Gradient Push for Distributed Deep Learning
Adabound Tensorflow
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135
Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019)
See Rnn
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135
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
Maximummargingans
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135
Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
Relax
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132
Optimizing control variates for black-box gradient estimation
Contiguous_pytorch_params
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130
Accelerate training by storing parameters in one contiguous chunk of memory.
Pytorch Examples
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123
train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
Gon
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123
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
Gradient_boosting_tensorflow_xgboost
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119
Benchmarking Gradient Boosting in TensorFlow and XGBoost
D4pg Pytorch
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116
PyTorch implementation of Distributed Distributional Deterministic Policy Gradients
Noisynaturalgradient
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115
Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
Hypertorch
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115
Gradcam.pytorch
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113
Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization
Powersgd
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112
Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727
Deep Learning
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107
personal practice(个人练习,实现了深度学习中的一些算法,包括:四种初始化方法(zero initialize, random initialize, xavier initialize, he initialize),深度神经网络,正则化,dropout, 三种梯度下降方法(BGD, SGD, mini-batch),六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam),梯度检验、batch normalization)、RNN
Pychart.js
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106
Objective Chart.js implementation for Python and Django
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