236 results found Sort:

apachecn
ailearning apachecn
11.5k
40.1k
other
1.7k
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
dnn nlp pca rnn svd svm lstm kmeans python apriori sklearn adaboost logistic fp-growth naivebayes regression deeplearning scikit-learn mahchine-leaning recommendedsystem
Created 2017-02-25
243 commits to master branch, last one 3 months ago
Jack-Cherish
Machine-Learning Jack-Cherish
5.1k
9.4k
unknown
269
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
knn smo svm python python3 adaboost logistic regression decision-tree machine-learning adaboost-algorithm navie-bayes-algorithm
Created 2017-03-25
173 commits to master branch, last one 3 years ago
pycaret
pycaret pycaret
1.8k
9.1k
mit
135
An open-source, low-code machine learning library in Python
ml gpu python pycaret clustering regression time-series data-science classification machine-learning anomaly-detection citizen-data-scientists
Created 2019-11-23
5,367 commits to master branch, last one 2 days ago
MorvanZhou
PyTorch-Tutorial MorvanZhou
3.1k
8.2k
mit
214
Build your neural network easy and fast, 莫烦Python中文教学
cnn dqn gan rnn batch python dropout pytorch tutorial regression autoencoder classification neural-network machine-learning pytorch-tutorial pytorch-tutorials batch-normalization reinforcement-learning generative-adversarial-network
Created 2017-05-05
121 commits to master branch, last one 2 years ago
nfmcclure
tensorflow_cookbook nfmcclure
2.4k
6.2k
mit
333
Code for Tensorflow Machine Learning Cookbook
cnn nlp ode rnn svm packtpub regression tensorflow tensorboard classification neural-network machine-learning genetic-algorithm kmeans-clustering linear-regression tensorflow-cookbook tensorflow-algorithms
Created 2016-06-10
409 commits to master branch, last one 5 years ago
postgresml
postgresml postgresml
310
6.2k
mit
56
Postgres with GPUs for ML/AI apps.
ai ml ann knn llm rag sql python search postgres clustering embeddings javascript regression forecasting classification vector-database machine-learning artificial-intelligence approximate-nearest-neighbor-search
Created 2022-04-11
1,802 commits to master branch, last one 26 days ago
haifengl
smile haifengl
1.1k
6.1k
other
268
Statistical Machine Intelligence & Learning Engine
llm nlp wavelet dataframe clustering regression statistics data-science deep-learning interpolation visualization classification linear-algebra computer-vision machine-learning genetic-algorithm manifold-learning computer-algebra-system nearest-neighbor-search multidimensional-scaling
Created 2014-11-20
4,650 commits to master branch, last one 19 hours ago
timeseriesAI
tsai timeseriesAI
676
5.4k
apache-2.0
65
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
cnn rnn fastai python rocket pytorch regression sequential timeseries forecasting time-series transformer deep-learning inceptiontime classification self-supervised machine-learning state-of-the-art time-series-analysis time-series-classification
Created 2019-09-30
1,250 commits to main branch, last one 29 days ago
mlpack
mlpack mlpack
1.6k
5.3k
other
185
mlpack: a fast, header-only C++ machine learning library
regression c-plus-plus deep-learning hacktoberfest machine-learning scientific-computing nearest-neighbor-search machine-learning-library
Created 2014-12-17
30,597 commits to master branch, last one 3 days ago
biolab
orange3 biolab
1.0k
5.0k
other
188
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
numpy scipy orange pandas python orange3 plotting clustering regression data-mining data-science scikit-learn random-forest visualization classification decision-trees machine-learning data-visualization visual-programming
Created 2013-02-22
15,556 commits to master branch, last one 4 days ago
BinRoot
TensorFlow-Book BinRoot
1.2k
4.5k
mit
297
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
book clustering regression tensorflow autoencoder classification machine-learning linear-regression logistic-regression reinforcement-learning convolutional-neural-networks
Created 2016-03-06
110 commits to master branch, last one 5 years ago
MorvanZhou
Tensorflow-Tutorial MorvanZhou
1.9k
4.3k
mit
259
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
cnn dqn gan rnn dropout tutorial regression tensorflow autoencoder classification deep-q-network neural-network machine-learning tensorflow-tutorials generative-adversarial-network
Created 2017-05-10
46 commits to master branch, last one 4 years ago
microsoft
FLAML microsoft
522
4.0k
mit
60
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
automl python tuning finetuning hyperparam regression data-science scikit-learn tabular-data deep-learning random-forest classification jupyter-notebook machine-learning timeseries-forecasting automated-machine-learning hyperparameter-optimization natural-language-generation natural-language-processing
Created 2020-08-20
778 commits to main branch, last one a day ago
alibaba
Alink alibaba
802
3.6k
apache-2.0
138
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
fm flink kafka apriori xgboost flink-ml word2vec clustering regression statistics data-mining recommender classification graph-embedding graph-algorithms machine-learning recommender-system feature-engineering flink-machine-learning
Created 2018-09-30
283 commits to master branch, last one 8 months ago
mathnet
mathnet-numerics mathnet
902
3.6k
mit
208
Math.NET Numerics
fft math csharp fsharp matrix random mathnet numerics regression statistics integration interpolation linear-algebra differentiation
Created 2009-06-24
3,351 commits to master branch, last one about a year ago
simple-statistics
simple-statistics simple-statistics
226
3.4k
isc
59
simple statistics for node & browser javascript
math javascript regression statistics
Created 2012-02-08
885 commits to main branch, last one 2 months ago
tirthajyoti
Machine-Learning-with-Python tirthajyoti
1.8k
3.2k
bsd-2-clause
157
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
flask numpy pandas pytest clustering matplotlib regression statistics naive-bayes data-science scikit-learn deep-learning random-forest classification decision-trees neural-network machine-learning k-nearest-neighbours artificial-intelligence dimensionality-reduction
Created 2017-07-17
502 commits to master branch, last one 2 years ago
Visualize-ML
Book5_Essentials-of-Probability-and-Statistics Visualize-ML
650
3.1k
unknown
35
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
pca regression statistics machine-learning multivariate-statistics
Created 2022-10-09
221 commits to main branch, last one 12 days ago
shankarpandala
lazypredict shankarpandala
352
3.1k
mit
29
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
automl regression classification machine-learning
Created 2019-11-16
317 commits to dev branch, last one 3 months ago
markrogoyski
math-php markrogoyski
241
2.4k
mit
80
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; ...
php math matrix vector algebra finance regression statistics mathematics php-library probability combinatorics distributions number-theory linear-algebra information-theory numerical-analysis
Created 2016-04-03
3,369 commits to master branch, last one 23 days ago
RubixML
ML RubixML
186
2.1k
mit
61
A high-level machine learning and deep learning library for the PHP language.
ai php php-ai php-ml algorithm analytics clustering prediction regression data-science deep-learning classification neural-network cross-validation machine-learning anomaly-detection php-machine-learning artificial-intelligence machine-learning-library natural-language-processing
Created 2018-02-14
2,060 commits to master branch, last one 15 days ago
uber
orbit uber
136
1.9k
other
35
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
pyro stan arima orbit pystan python pytorch bayesian forecast regression changepoint forecasting time-series probabilistic bayesian-methods machine-learning regression-models bayesian-statistics exponential-smoothing probabilistic-programming
Created 2020-01-07
927 commits to dev branch, last one 7 months ago
JavierAntoran
Bayesian-Neural-Networks JavierAntoran
304
1.9k
mit
28
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
hmc mcmc sgld pytorch mc-dropout regression uncertainty deep-learning classification bayes-by-backprop langevin-dynamics bayesian-inference approximate-inference reproducible-research variational-inference bayesian-neural-networks uncertainty-neural-networks local-reparametrization-trick out-of-distribution-detection kronecker-factored-approximation
Created 2019-03-11
86 commits to master branch, last one about a year ago
JuliaAI
MLJ.jl JuliaAI
157
1.8k
other
47
A Julia machine learning framework
julia tuning pipeline stacking pipelines clustering regression statistics data-science classification machine-learning ensemble-learning tuning-parameters predictive-modeling
Created 2018-08-01
2,657 commits to dev branch, last one 11 days ago
experiencor
keras-yolo2 experiencor
783
1.7k
mit
67
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
yolo2 realtime regression deep-learning convolutional-networks
Created 2017-03-22
78 commits to master branch, last one 5 years ago
mlr-org
mlr mlr-org
404
1.7k
other
106
Machine Learning in R
r mlr cran tuning learners stacking tutorial r-package clustering regression statistics data-science classification machine-learning feature-selection survival-analysis predictive-modeling imbalance-correction multilabel-classification hyperparameters-optimization
Created 2013-08-29
4,812 commits to master branch, last one 6 months ago
tensorly
tensorly tensorly
295
1.6k
other
44
TensorLy: Tensor Learning in Python.
jax cupy mxnet numpy python tensor pytorch tensorly regression tensorflow decomposition tensor-algebra tensor-methods tensor-learning machine-learning tensor-regression tensor-decomposition tensor-factorization
Created 2016-10-21
1,990 commits to main branch, last one 18 days ago
Xtra-Computing
thundersvm Xtra-Computing
218
1.6k
apache-2.0
57
ThunderSVM: A Fast SVM Library on GPUs and CPUs
gpu cuda libsvm regression c-plus-plus classification one-class-learning
Created 2014-12-11
912 commits to master branch, last one 10 months ago
AxeldeRomblay
MLBox AxeldeRomblay
274
1.5k
other
65
MLBox is a powerful Automated Machine Learning python library.
drift keras automl kaggle auto-ml xgboost encoding lightgbm pipeline stacking prediction regression distributed data-science optimization deep-learning preprocessing classification machine-learning automated-machine-learning
Created 2017-06-01
1,121 commits to master branch, last one 4 years ago
yeyun111
dlcv_for_beginners yeyun111
639
1.5k
bsd-3-clause
93
《深度学习与计算机视觉》配套代码
gan book unet caffe mxnet u-net example pytorch siamese beginners detection generative regression adversarial model-fusion segmentation deep-learning classification computer-vision
Created 2016-12-22
143 commits to master branch, last one 5 years ago