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Search results for python gradient
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894 search results found
Lightgbm
⭐
15,489
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Reinforcement Learning An Introduction
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12,490
Python Implementation of Reinforcement Learning: An Introduction
Catboost
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7,367
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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3,598
A Python toolbox for performing gradientfree optimization
Pytorch Optimizer
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2,845
torchoptimizer  collection of optimizers for Pytorch
Scikit Optimize
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2,654
Sequential modelbased 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
Longformer
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1,672
Longformer: The LongDocument Transformer
Ngboost
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1,492
Natural Gradient Boosting for Probabilistic Prediction
Gradify
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1,464
CSS gradient placeholders
Pgportfolio
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1,386
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
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: SharpnessAware Minimization (PyTorch)
Optax
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1,194
Optax is a gradient processing and optimization library for JAX.
Innvestigate
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1,167
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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1,045
Simple and reliable optimization with local, global, populationbased and sequential techniques in numerical discrete search spaces.
Keract
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1,025
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.
Stock_market_reinforcement_learning
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630
This project provides a stock market environment using OpenGym with Deep Qlearning and Policy Gradient.
Ddpg Keras Torcs
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595
Using Keras and Deep Deterministic Policy Gradient to play TORCS
Solid
⭐
518
🎯 A comprehensive gradientfree optimization framework written in Python
Hyperband
⭐
515
Tuning hyperparams fast with Hyperband
Ghm_detection
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512
The implementation of “Gradient Harmonized Singlestage Detector” published on AAAI 2019.
Gradient Centralization
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497
A New Optimization Technique for Deep Neural Networks
Backpack
⭐
477
BackPACK  a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
Deepexplain
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471
A unified framework of perturbation and gradientbased attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
Focal Loss
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452
Focal loss for Dense Object Detection
Grad Cam Pytorch
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438
PyTorch implementation of GradCAM, 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
Simpeg
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422
Simulation and Parameter Estimation in Geophysics  A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
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
autotuning momentum SGD optimizer
Chefboost
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387
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python
Dnc
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386
Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
Gbdt_simple_tutorial
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371
python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解 Boosting Decision Trees regression, dichotomy and multiclassification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision
Differentiable Plasticity
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358
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
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.
Entmax
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326
The entmax mapping and its loss, a family of sparse softmax alternatives.
Yellowfin_pytorch
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293
autotuning momentum SGD optimizer
Pytorch Es
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293
Evolution Strategies in PyTorch
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.
Sampyl
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277
MCMC samplers for Bayesian estimation in Python, including MetropolisHastings, NUTS, and Slice
Pytorch Cnn Adversarial Attacks
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272
Pytorch implementation of convolutional neural network adversarial attack techniques
Greedy_infomax
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272
Code for the paper: Putting An End to EndtoEnd: GradientIsolated Learning of Representations
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 PythonInterface
Pytorch Maddpg
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231
A pytorch implementation of MADDPG (multiagent deep deterministic policy gradient)
Tinygbt
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224
A Tiny, Pure Python implementation of Gradient Boosted Trees.
Torch Dreams
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224
Making neural networks more interpretable, for research and art 🔎 💻 :brain: 🎨
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 scikitlearn
Pygpgo
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214
Bayesian optimization for Python
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
Tensorflow Adversarial
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204
Crafting adversarial images
Spins B
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204
Photonic optimization library
Epg
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197
Code for the paper "Evolved Policy Gradients"
Sentence Space
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189
Generating gradients, exploring neighborhoods.
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 CoAttention Networks for Visual Question Answering
Grad_cam_plus_plus
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176
A generalized gradientbased 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
Fullgradient saliency maps
Gradientinfill
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171
Wallgen
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167
Generate HQ poly wallpapers
Imbalance Xgboost
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167
XGBoost for labelimbalanced 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
Pytorch_memonger
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160
Experimental ground for optimizing memory of pytorch models
Pygbm
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154
Experimental Gradient Boosting Machines in Python with numba.
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
⭐
152
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
Mariana
⭐
151
The Cutest Deep Learning Framework which is also a wonderful Declarative Language
Pix2latent
⭐
149
Code for: Transforming and Projecting Images into Classconditional Generative Networks
Adatune
⭐
144
Gradient based Hyperparameter Tuning library in PyTorch
Evograd
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144
Storchastic
⭐
143
Stochastic Automatic Differentiation library for PyTorch.
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