Machine Learning

The fastai deep learning library includes documentation and setup guidance, including instructions for use with Google Colab.

The Python Job Board lists software openings for people seeking work related to the Python programming language.

FEDOT automates machine learning model development through its modeling framework.

The cs-video-courses list links to computer science courses that include video lectures for learners.

The Featuretools Python library supports automated feature engineering and is published as open source.

Enables single machine or distributed training and evaluation of deep learning models.

LocalModelsLinks collects guides and references for running and tuning language models locally.

jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.

Sonar provides large-scale inference for language models through the project hosted in this repository.

A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.

Manifold provides visual debugging for machine learning models without depending on a specific model type.

Automatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.

List of awesome compiler projects and papers for tensor computation and deep learning.

DVC tracks data versions and machine learning experiments for collaborative development.

Everything Universe provides 3D animation and automated rigging tools for models used in games, apps, and metaverse projects.

Study algorithms implemented in C++ through this open-source learning repository.

Epsilla provides a vector database that uses parallel graph computing for search workloads.

This Swift library builds machine learning predictions using linear regression.

torchvista visualizes a PyTorch model’s forward pass in notebooks and can export the visualization as an image, SVG, or HTML.

For machine learning pipelines, Upgini searches and enriches data with features from public and commercial sources.

FlexML offers an easy to use and flexible automated machine learning library for Python.

Virgilio organizes data science e-learning resources in a structured project overview.

ClearML manages AI experiments, data, pipelines, orchestration, scheduling, and model serving in one MLOps platform.

Espresso AI uses machine learning to optimize Snowflake and Databricks data warehouses and reduce query and infrastructure costs.