Category |
Sub Category |
Name of the Tool |
Brief Description |
URL |
Machine Learning and Data Science Tools |
Model Development |
TensorFlow |
Open-source library for numerical computation and large-scale machine learning |
https://www.tensorflow.org/ |
Machine Learning and Data Science Tools |
Model Development |
PyTorch |
Open source machine learning library based on the Torch library |
https://pytorch.org/ |
Machine Learning and Data Science Tools |
Model Development |
Scikit-learn |
Machine learning library for Python |
https://scikit-learn.org/ |
Machine Learning and Data Science Tools |
Model Development |
Keras |
High-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano |
https://keras.io/ |
Machine Learning and Data Science Tools |
Model Development |
XGBoost |
Optimized distributed gradient boosting library |
https://xgboost.ai/ |
Machine Learning and Data Science Tools |
Model Development |
LightGBM |
Light Gradient Boosting Machine |
https://lightgbm.readthedocs.io/ |
Machine Learning and Data Science Tools |
Model Development |
CatBoost |
Open-source gradient boosting on decision trees library |
https://catboost.ai/ |
Machine Learning and Data Science Tools |
Model Development |
H2O |
Open source machine learning platform |
https://www.h2o.ai/ |
Machine Learning and Data Science Tools |
Model Development |
NLTK |
Leading platform for building Python programs to work with human language data |
https://www.nltk.org/ |
Machine Learning and Data Science Tools |
Model Development |
Spark MLlib |
Apache Spark’s scalable machine learning library |
https://spark.apache.org/mllib/ |
Machine Learning and Data Science Tools |
Model Development |
Theano |
Python library for defining, optimizing, and evaluating mathematical expressions |
http://deeplearning.net/software/theano/ |
Machine Learning and Data Science Tools |
Model Development |
Caffe |
Deep learning framework made with expression, speed, and modularity in mind |
https://caffe.berkeleyvision.org/ |
Machine Learning and Data Science Tools |
Model Development |
MXNet |
Deep learning framework designed for both efficiency and flexibility |
https://mxnet.apache.org/ |
Machine Learning and Data Science Tools |
Model Development |
Gensim |
Topic modelling for humans |
https://radimrehurek.com/gensim/ |
Machine Learning and Data Science Tools |
Model Development |
Shogun |
Machine learning toolbox |
https://www.shogun-toolbox.org/ |
Machine Learning and Data Science Tools |
Model Development |
Weka |
Collection of machine learning algorithms for data mining tasks |
https://www.cs.waikato.ac.nz/ml/weka/ |
Machine Learning and Data Science Tools |
Model Development |
RapidMiner |
Data science platform for teams |
https://rapidminer.com/ |
Machine Learning and Data Science Tools |
Model Development |
KNIME |
Open source data analytics, reporting and integration platform |
https://www.knime.com/ |
Machine Learning and Data Science Tools |
Model Development |
Orange |
Open source machine learning and data visualization |
https://orange.biolab.si/ |
Machine Learning and Data Science Tools |
Model Development |
MLflow |
Open source platform for the machine learning lifecycle |
https://mlflow.org/ |
Machine Learning and Data Science Tools |
Model Development |
Kubeflow |
Machine Learning Toolkit for Kubernetes |
https://www.kubeflow.org/ |
Machine Learning and Data Science Tools |
Model Development |
Ludwig |
Toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code |
https://ludwig.ai/ |
Machine Learning and Data Science Tools |
Model Development |
FastAI |
Deep learning library which provides high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains |
https://www.fast.ai/ |
Machine Learning and Data Science Tools |
Model Development |
Vowpal Wabbit |
Machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning |
https://vowpalwabbit.org/ |
Machine Learning and Data Science Tools |
Model Development |
PyCaret |
Open-source, low-code machine learning library in Python |
https://pycaret.org/ |
Machine Learning and Data Science Tools |
Model Development |
Auto-Sklearn |
Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator |
https://automl.github.io/auto-sklearn/ |