GmmVariational Inference in Gaussian Mixture Model
Stars: ✭ 31 (+55%)
BackpropHeterogeneous automatic differentiation ("backpropagation") in Haskell
Stars: ✭ 154 (+670%)
Learning To Learn By Pytorch"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.
Stars: ✭ 31 (+55%)
Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Stars: ✭ 3,329 (+16545%)
Neural TangentsFast and Easy Infinite Neural Networks in Python
Stars: ✭ 1,357 (+6685%)
clinkClink is a library that provides APIs and infrastructure to facilitate the development of parallelizable feature engineering operators that can be used in both C++ and Java runtime.
Stars: ✭ 24 (+20%)
cartpole-rl-remoteCartPole game by Reinforcement Learning, a journey from training to inference
Stars: ✭ 24 (+20%)
GorgoniaGorgonia is a library that helps facilitate machine learning in Go.
Stars: ✭ 4,295 (+21375%)
Ai Simplest NetworkThe simplest form of an artificial neural network explained and demonstrated.
Stars: ✭ 333 (+1565%)
RLReinforcement Learning Demos
Stars: ✭ 66 (+230%)
Data-ScienceUsing Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
Stars: ✭ 15 (-25%)
Far HoGradient based hyperparameter optimization & meta-learning package for TensorFlow
Stars: ✭ 161 (+705%)
sgdAn R package for large scale estimation with stochastic gradient descent
Stars: ✭ 55 (+175%)
DOM-Q-NETGraph-based Deep Q Network for Web Navigation
Stars: ✭ 30 (+50%)
skrobotskrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
Stars: ✭ 22 (+10%)
MindseyeNeural Networks in Java 8 with CuDNN and Aparapi
Stars: ✭ 8 (-60%)
Neuralnetwork.netA TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
Stars: ✭ 392 (+1860%)
machine learning courseArtificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
Stars: ✭ 47 (+135%)
DiffmorphImage morphing without reference points by applying warp maps and optimizing over them.
Stars: ✭ 249 (+1145%)
yarllCombining deep learning and reinforcement learning.
Stars: ✭ 84 (+320%)
java-reinforcement-learningPackage provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
Stars: ✭ 90 (+350%)
kaggle-berlinMaterial of the Kaggle Berlin meetup group!
Stars: ✭ 36 (+80%)
Mlbasic深度学习常用优化方法详解
Stars: ✭ 222 (+1010%)
tsflexFlexible time series feature extraction & processing
Stars: ✭ 252 (+1160%)
Ml CourseStarter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Stars: ✭ 154 (+670%)
EvolutionaryForestAn open source python library for automated feature engineering based on Genetic Programming
Stars: ✭ 56 (+180%)
NmflibraryMATLAB library for non-negative matrix factorization (NMF): Version 1.8.1
Stars: ✭ 153 (+665%)
Raytracer.jlDifferentiable RayTracing in Julia
Stars: ✭ 110 (+450%)
GAN-Q-LearningUnofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
Stars: ✭ 42 (+110%)
Machine Learning NumpyGathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!
Stars: ✭ 90 (+350%)
reinforced-raceA model car learns driving along a track using reinforcement learning
Stars: ✭ 37 (+85%)
msdaLibrary for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
Stars: ✭ 80 (+300%)
least-squares-cppA single header-only C++ library for least squares fitting.
Stars: ✭ 46 (+130%)
Deep-QLearning-Demo-csharpThis demo is a C# port of ConvNetJS RLDemo (https://cs.stanford.edu/people/karpathy/convnetjs/demo/rldemo.html) by Andrej Karpathy
Stars: ✭ 34 (+70%)
Cppnumericalsolversa lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)
Stars: ✭ 638 (+3090%)
fengfeng - feature engineering for machine-learning champions
Stars: ✭ 27 (+35%)
OptimOptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
Stars: ✭ 411 (+1955%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+1625%)
RegressionMultiple Regression Package for PHP
Stars: ✭ 88 (+340%)
Pytorch Meta OptimizerA PyTorch implementation of Learning to learn by gradient descent by gradient descent
Stars: ✭ 275 (+1275%)
Easy Rl强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
Stars: ✭ 3,004 (+14920%)
FIFA-2019-AnalysisThis is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations
Stars: ✭ 28 (+40%)
Deep-Reinforcement-Learning-NotebooksThis Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
Stars: ✭ 15 (-25%)
exemplary-ml-pipelineExemplary, annotated machine learning pipeline for any tabular data problem.
Stars: ✭ 23 (+15%)
AutoTSAutomated Time Series Forecasting
Stars: ✭ 665 (+3225%)
Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Stars: ✭ 113 (+465%)