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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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beam.cloud
Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.
arize.com
MLOps in a notebook - uncover insights, surface problems, monitor, and fine tune your models.
huggingface.co
Helps teams build, deploy, observe or operate machine-learning systems.
centre-for-humanities-computing.github.io
Blazing fast short-text-topic-modelling for Python.
rationale.jina.ai
Decision-making tool powered by the latest GPT and in-context learning.
github.com
A temporal extension of PyTorch Geometric for dynamic graph representation learning.
karsdorp.io
Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.
github.com
Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
github.com
Examples and guides for using the OpenAI API.
github.com
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
github.com
A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
meka.sourceforge.net
An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
lynxkite.com
LynxKite provides AI-assisted learning, courses, tutorials, or study support.
mathpix.com
Convert images and PDFs to LaTeX, DOCX, Overleaf, Markdown, Excel, ChemDraw and more, with our AI-powered document conversion technology.
making.lyst.com
A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
github.com
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
cloudera.com
Is a personal, portable Hadoop environment that comes with a dozen interactive Hadoop tutorials.
github.com
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
github.com
Deep Neural Networks for Golang (powered by MXNet).
learn.nvidia.com
A no-coding course by NVIDIA that presents Generative AI concepts and applications, as well as the challenges and opportunities in the field.
github.com
Large scale Gaussian Mixture Models.
github.com
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
github.com
Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.