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556 search results found

Reinforcement Learning An Introduction ⭐ 12,490

Python Implementation of Reinforcement Learning: An Introduction

Catboost ⭐ 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 ⭐ 6,883

Pytorch implementation of convolutional neural network visualization techniques

Nevergrad ⭐ 3,792

A Python toolbox for performing gradient-free optimization

Pytorch Optimizer ⭐ 2,882

torch-optimizer -- collection of optimizers for Pytorch

Scikit Optimize ⭐ 2,700

Sequential model-based optimization with a `scipy.optimize` interface

Radam ⭐ 2,393

On the Variance of the Adaptive Learning Rate and Beyond

Seqgan ⭐ 1,801

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

Rlpyt ⭐ 1,709

Reinforcement Learning in PyTorch

Longformer ⭐ 1,672

Longformer: The Long-Document Transformer

Ngboost ⭐ 1,543

Natural Gradient Boosting for Probabilistic Prediction

Gradify ⭐ 1,464

CSS gradient placeholders

Pgportfolio ⭐ 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 ⭐ 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: Sharpness-Aware Minimization (PyTorch)

Innvestigate ⭐ 1,175

A toolbox to iNNvestigate neural networks' predictions!

Minpy ⭐ 1,123

NumPy interface with mixed backend execution

Gradient Free Optimizers ⭐ 1,072

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

Keract ⭐ 1,030

Layers Outputs and Gradients in Keras. Made easy.

Tf Explain ⭐ 934

Interpretability Methods for tf.keras models with Tensorflow 2.x

Awesome Gradient Boosting Papers ⭐ 930

A curated list of gradient boosting research papers with implementations.

Ranger Deep Learning Optimizer ⭐ 910

Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase

Stylecloud ⭐ 714

Python package + CLI to generate stylistic wordclouds, including gradients and icon shapes!

Dreamerv2 ⭐ 700

Mastering Atari with Discrete World Models

Densenet.pytorch ⭐ 632

A PyTorch implementation of DenseNet.

Stock_market_reinforcement_learning ⭐ 630

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

Ddpg Keras Torcs ⭐ 595

Using Keras and Deep Deterministic Policy Gradient to play TORCS

🎯 A comprehensive gradient-free optimization framework written in Python

Hyperband ⭐ 515

Tuning hyperparams fast with Hyperband

Ghm_detection ⭐ 512

The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.

Backpack ⭐ 504

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

Gradient Centralization ⭐ 497

A New Optimization Technique for Deep Neural Networks

Deepexplain ⭐ 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 ⭐ 452

Focal loss for Dense Object Detection

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

Grad Cam Pytorch ⭐ 438

PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps

Gradientdescentexample ⭐ 428

Example demonstrating how gradient descent may be used to solve a linear regression problem

Chefboost ⭐ 428

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

Wassersteingan.tensorflow ⭐ 415

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

Deepdist ⭐ 409

Distributed Deep Learning on Spark

Yellowfin ⭐ 402

auto-tuning momentum SGD optimizer

Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy

The entmax mapping and its loss, a family of sparse softmax alternatives.

Gbdt_simple_tutorial ⭐ 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 ⭐ 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 ⭐ 356

TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例

Pixelhouse ⭐ 344

A minimalist drawing library for making beautiful animations in python

Tensorflow Resources ⭐ 327

Curated Tensorflow code resources to help you get started with Deep Learning.

Yellowfin_pytorch ⭐ 293

auto-tuning momentum SGD optimizer

Pytorch Es ⭐ 293

Evolution Strategies in PyTorch

Colour your text / terminal to be more gay. 🏳️‍🌈

Python Neural Network ⭐ 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.

MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

Pytorch Cnn Adversarial Attacks ⭐ 272

Pytorch implementation of convolutional neural network adversarial attack techniques

Greedy_infomax ⭐ 272

Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations

Hypergrad ⭐ 268

Exploring differentiation with respect to hyperparameters

Stein Variational Gradient Descent ⭐ 261

code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

Vit Explain ⭐ 260

Explainability for Vision Transformers

Residual Flows ⭐ 256

code for "Residual Flows for Invertible Generative Modeling".

Gradientepisodicmemory ⭐ 244

Continuum Learning with GEM: Gradient Episodic Memory

Pg_travel ⭐ 243

Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)

Pytorch_misc ⭐ 241

Code snippets created for the PyTorch discussion board

Fastbdt ⭐ 237

Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface

Pytorch Maddpg ⭐ 231

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

Torch Dreams ⭐ 229

Flexible Feature visualization on PyTorch, for research and art 🔎 💻 🧠 🎨

Tinygbt ⭐ 224

A Tiny, Pure Python implementation of Gradient Boosted Trees.

Visualisation tool for CNNs in pytorch

Ddpg Aigym ⭐ 220

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

Sklearn Compiledtrees ⭐ 219

Compiled Decision Trees for scikit-learn

Learningx ⭐ 213

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Dni Pytorch ⭐ 210

Decoupled Neural Interfaces using Synthetic Gradients for PyTorch

Pytorch Ddpg ⭐ 207

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

Tensorflow Adversarial ⭐ 204

Crafting adversarial images

Spins B ⭐ 204

Photonic optimization library

Code for the paper "Evolved Policy Gradients"

Sentence Space ⭐ 189

Generating gradients, exploring neighborhoods.

Wallgen ⭐ 184

Generate HQ poly wallpapers

Python Cfonts ⭐ 183

Sexy fonts for the console

Numdifftools ⭐ 182

Solve automatic numerical differentiation problems in one or more variables.

Mcan Vqa ⭐ 181

Deep Modular Co-Attention Networks for Visual Question Answering

Grad_cam_plus_plus ⭐ 176

A generalized gradient-based CNN visualization technique

Phasic Policy Gradient ⭐ 175

Code for the paper "Phasic Policy Gradient"

Fullgrad Saliency ⭐ 172

Full-gradient saliency maps

Gradientinfill ⭐ 171

Imbalance Xgboost ⭐ 167

XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions

explore DNNs via Infomration

Spinning Up Basic ⭐ 164

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

Pytorch_memonger ⭐ 160

Experimental ground for optimizing memory of pytorch models

Experimental Gradient Boosting Machines in Python with numba.

Pytorch_workplace ⭐ 153

Random miniprojects with pytorch.

Intro_to_the_math_of_intelligence ⭐ 153

This is the code for "Intro - The Math of Intelligence" by Siraj Raval on Youtube

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

Evograd ⭐ 144

Adatune ⭐ 144

Gradient based Hyperparameter Tuning library in PyTorch

Adversial_example_defense ⭐ 143

对抗性样本攻击与防御

Storchastic ⭐ 143

Stochastic Automatic Differentiation library for PyTorch.

Stochastic_gradient_push ⭐ 141

Stochastic Gradient Push for Distributed Deep Learning

Adabound Tensorflow ⭐ 135

Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019)

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