Type: Tool

Discover open source deep learning code and pretrained models.

Train Machine Learning models on the fly to recognize your own images, sounds, & poses.

An opensource viewer for neural network, deep learning and machine learning models

Free, open-access search engine for robotics, ML, and AI research papers (arXiv, MDPI, IEEE OA).

An online tool to generate boilerplate machine learning code that uses scikit-learn.

Machine learning experiment tracking, dataset versioning, hyperparameter search, visualization, and collaboration

platform to manage the ML lifecycle, including experimentation, reproducibility and deployment. Framework and language agnostic, take a look at all the built-in integrations.

ML platform for tracking experiments, hyper-parameters, artifacts and more. It's deeply integrated with over 15+ deep learning frameworks and orchestration tools. Users can also use the platform to monitor their models in production.

Tool to log, analyze, compare and "optimize" experiments. It's cross-platform and framework independent, and provided integrated visualizers such as tensorboard.

MLReef is an end-to-end development platform using the power of git to give structure and deep collaboration possibilities to the ML development process.

Is an open source on-prem AI coding autonomous assistant that lives inside your repo, edits and tests files at SSD speed. Think Claude Code but with UI. plug in any LLM (OpenAI, Gemini, Ollama, etc.) and let it work for you.

Production AI plaftorm for deploying, managing, and observing any model at scale across any environment from cloud to edge. Let's go from python notebook to inferencing in minutes.

Browser-based visual editor for designing neural networks and automatically generating PyTorch and TensorFlow code.

Interactive visualizations explaining neural networks, backpropagation, attention mechanisms, and transformers.

A page of content on TensorFlow, including academic papers and links to related topics.

Creating statically typed dynamic neural networks from object-oriented & functional programming constructs.

Interactive and Reactive Data Science using Scala and Spark.

ScalaNLP is a suite of machine learning and numerical computing libraries.

and quanteda are the main packages for managing, analyzing, and visualizing textual data.

A data visualization package based on the grammar of graphics.

data.table provides a high-performance version of base R’s data.frame with syntax and feature enhancements for ease of use, convenience and programming speed.

medley: Blending regression models, using a greedy stepwise approach.

ipred - ipred: Improved Predictors.

CORElearn - CORElearn: Classification, regression, feature evaluation and ordinal evaluation.

Classification and Regression Training: Unified interface to ~150 ML algorithms in R.

Glean - A data management tool for humans. [Deprecated]

raspell is an interface binding for ruby. [Deprecated]

CodeFlash.AI – Ship Blazing-Fast Python Code, Every Time.

An educational resource designed to let anyone learn to become a skilled practitioner in deep reinforcement learning

An Open Source Distributed Framework for Reinforcement Learning that makes build and train your agents easily.

A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language.

comprehensive online course about using XGBoost in Python.

Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.

Computation Pipeline library for python.

A python visualization library based on matplotlib.

A Python SVG Charts Creator.

A Python 2D plotting library.

A community Python library for Astronomy.

Short for Python Dynamics, used to assist with workflow in the modelling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.

A library providing high-performance, easy-to-use data structures and data analysis tools.

Python JIT (just in time) compiler to LLVM aimed at scientific Python by the developers of Cython and NumPy.

A fundamental package for scientific computing with Python.

A Python-based ecosystem of open-source software for mathematics, science, and engineering.

Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.

A library for probabilistic modelling, inference, and criticism. Built on top of TensorFlow.

Open source data visualization and data analysis for novices and experts.

Python module to perform under sampling and oversampling with various techniques.

A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.