A no-coding course by NVIDIA that presents Generative AI concepts and applications, as well as the challenges and opportunities in the field.
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A hands-on course to train and deploy a serverless API that predicts crypto prices.
Access all JetBrains IDEs, plugins, and courses for your studies and future tech career.
An integrated and easy-to-use tool for support vector classification and regression.
Convert images and PDFs to LaTeX, DOCX, Overleaf, Markdown, Excel, ChemDraw and more, with our AI-powered document conversion technology.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
Animations and instructional videos about neural networks.
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Fast, flexible and fun neural networks. This is the successor of PyBrain.
Platform democratizing access to data and enabling enterprises to build their own path to AI.
Decision Tree Classifier and Regressor.
Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
Course content and resources for the AIAIART course.
Simple and friendly way of teaching your non-data scientist/non-statistician colleagues. From Geckoboard's Data Literacy Lessons.
Python module to perform under sampling and oversampling with various techniques.
A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
Learn any topic in 3 minutes a day. 1v1 quiz duels, ELO rankings, spaced repetition. Free on iOS and Android.
AI-powered academic assistant for students with note-taking, essay writing, and presentation generation.
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
An open course on designing, developing, deploying, and iterating on production ML systems.
It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.
A free video series by Andrej Karpathy covering neural networks from scratch — backpropagation, makemore, GPT, and more.