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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 gradient-free optimization
Pytorch Optimizer
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2,845
torch-optimizer -- collection of optimizers for Pytorch
Scikit Optimize
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2,654
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
Longformer
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1,672
Longformer: The Long-Document 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: Sharpness-Aware 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, population-based 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 Q-learning 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 gradient-free optimization framework written in Python
Hyperband
⭐
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.
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 gradient-based 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 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
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
auto-tuning 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 multi-classification 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
auto-tuning 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 Metropolis-Hastings, 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 End-to-End: Gradient-Isolated 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
⭐
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)
Tinygbt
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224
A Tiny, Pure Python implementation of Gradient Boosted Trees.
Torch Dreams
⭐
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 scikit-learn
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 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
Wallgen
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167
Generate HQ poly wallpapers
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
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 Class-conditional Generative Networks
Adatune
⭐
144
Gradient based Hyperparameter Tuning library in PyTorch
Evograd
⭐
144
Storchastic
⭐
143
Stochastic Automatic Differentiation library for PyTorch.
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