A library consisting of useful tools for data science and machine learning tasks.
PythonOtheractive
737 projects85 categoriesshowing 121–180, page 3 of 13
Sourced fromjosephmisiti/awesome-machine-learning
A library consisting of useful tools for data science and machine learning tasks.
PythonOtheractive
Run Keras models in the browser, with GPU support provided by WebGL 2.
JavaScriptMIT Licensedormant
A TensorFlow Keras-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights, making it easier for researchers and developers to achieve high-quality pixel-level object segmentation in images.
PythonMIT Licenseslowing
Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning, designed to be easy to get started with and simple to use for Java developers.
JavaApache License 2.0active
A machine learning library by Airbnb designed from the ground up to be human friendly.
ScalaApache License 2.0steady
a comprehensive toolkit to build Machine Learning applications with Rust
RustApache License 2.0active
The AI-native database built for LLM applications, providing incredibly fast vector and full-text search. Developed using C++20
C++Apache License 2.0active
A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
PythonMIT Licenseslowing
A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
CudaMIT Licenseslowing
Reading Wikipedia to answer open-domain questions.
PythonOtherslowingarchived
A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
PythonOtheractive
Python tool to help you configure, organize, log and reproduce experiments. Like a notebook lab in the context of Chemistry/Biology. The community has built multiple add-ons leveraging the proposed standard.
PythonMIT Licensesteady
Jupyter NotebookGNU General Public License v3.0slowing
A library for doing continuous integration with ML projects. Use GitHub Actions & GitLab CI to train and evaluate models in production like environments and automatically generate visual reports with metrics and graphs in pull/merge requests. Framework & language agnostic.
JavaScriptApache License 2.0slowing
The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
HTMLBSD 3-Clause "New" or "Revised" Licenseslowingarchived
Natural language processing library built on top of Apache Spark ML to provide simple, performant, and accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment.
ScalaApache License 2.0active
A fast parallel implementation of Connectionist Temporal Classification (CTC), on both CPU and GPU.
CudaApache License 2.0slowing
Validation & testing of machine learning models and data during model development, deployment, and production. This includes checks and suites related to various types of issues, such as model performance, data integrity, distribution mismatches, and more.
PythonOthersteady
Natural Language Understanding library for intent classification and entity extraction
PythonApache License 2.0dormant
Nervana's high-performance Python-based Deep Learning framework [DEEP LEARNING]. [Deprecated]
PythonApache License 2.0dormantarchived
Lightweight library to build and train neural networks in Theano.
PythonOtherdormant
IPython notebooks from Data School's video tutorials on scikit-learn.
Jupyter Notebookslowing
Lightly is a computer vision framework for self-supervised learning.
PythonMIT Licenseactive
Rdormant
A platform for reproducible and scalable machine learning and deep learning.
MDXApache License 2.0active
Same API as ggplot2 for R. [Deprecated]
PythonBSD 2-Clause "Simplified" Licensedormantarchived
DI-engine is a generalized Decision Intelligence engine. It supports most basic deep reinforcement learning (DRL) algorithms, such as DQN, PPO, SAC, and domain-specific algorithms like QMIX in multi-agent RL, GAIL in inverse RL, and RND in exploration problems.
PythonApache License 2.0steady
Retro Games in Gym
CMIT Licenseslowingarchived
GPU-based high-performance interactive OpenGL 2D/3D data visualization library.
PythonOtheractive
All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).
Jupyter NotebookApache License 2.0slowing
Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
PythonMIT Licenseslowing
A Scala API for Cascading.
ScalaApache License 2.0dormant
A JavaScript implementation of descriptive, regression, and inference statistics. Implemented in literate JavaScript with no dependencies, designed to work in all modern browsers (including IE) as well as in Node.js.
JavaScriptISC Licenseactive
Algorithmic Trading with Machine Learning.
PythonOtheractive
Debugging and visualization tool for machine learning and data science. It extensively leverages Jupyter Notebook to show real-time visualizations of data in running processes such as machine learning training.
Jupyter NotebookMIT Licensesteady
Breeze is a numerical processing library for Scala.
ScalaApache License 2.0steady
A dynamic neural network library working well with networks that have dynamic structures that change for every training instance. Written in C++ with bindings in Python.
C++Apache License 2.0slowing
High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing. Being able to research/develop something new, rather than write another regular train loop.
PythonApache License 2.0active
A python library for working with Probabilistic Graphical Models.
PythonMIT Licenseactive
An Automated Machine Learning (AutoML) python package for tabular data. It can handle: Binary Classification, MultiClass Classification and Regression. It provides explanations and markdown reports.
PythonMIT Licenseactive
Dataframes.
GoOtherdormantarchived
Shapash is a Python library that provides several types of visualization that display explicit labels that everyone can understand.
Jupyter NotebookApache License 2.0active
Scalable deep learning training platform, including integrated support for distributed training, hyperparameter tuning, experiment tracking, and model management.
GoApache License 2.0slowing
NumPy and Pandas interface to Big Data.
PythonBSD 3-Clause "New" or "Revised" Licenseslowing
A Java implementation of Twitter's text processing library.
HTMLApache License 2.0slowing
> A delightful machine learning tool that allows you to train/fit, test and use models without writing code
PythonMIT Licensesteady
A high performance, easy-to-use, and scalable machine learning package, which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data, which is very common in Internet services such as online advertising and recommender systems.
C++Apache License 2.0slowing
The Shogun Machine Learning Toolbox.
C++BSD 3-Clause "New" or "Revised" Licenseslowing
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
RustApache License 2.0steady
Machine Learning on Graphs, a Python library for machine learning on graph-structured (network-structured) data.
PythonApache License 2.0slowing
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps.
TypeScriptApache License 2.0active
A tool that allows the conversion of ML models into native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart) with zero dependencies.
PythonMIT Licenseslowing
> A temporal extension of PyTorch Geometric for dynamic graph representation learning.
PythonMIT Licenseactive
C, C++, and Python tools for named entity recognition and relation extraction
C++steady
An easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search.
PythonApache License 2.0steady
as known as L0CV, is a new generation of computer vision open source online learning media, a cross-platform interactive learning framework integrating graphics, source code and HTML. the L0CV ecosystem — Notebook, Datasets, Source Code, and from Diving-in to Advanced — as well as the L0CV Hub.
Jupyter NotebookOtherslowing
Another Python Machine Learning Library.
PythonBSD 3-Clause "New" or "Revised" Licenseslowing
A Machine Learning library based on Theano. [Deprecated]
PythonBSD 3-Clause "New" or "Revised" Licensedormant
A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.
PythonApache License 2.0slowing
Machine learning and numerical analysis tools for Node.js and the Browser!
JavaScriptMIT Licenseslowing