Greg (Grzegorz) Surma - Portfolio; Machine Learning, Computer Vision, Self-Driving Cars, AI.
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We must stop AI replicating the problems of surveillance capitalism provides machine-learning models, research, training resources, or evaluation…
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
A free video series by Andrej Karpathy covering neural networks from scratch — backpropagation, makemore, GPT, and more.
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
MLOps in a notebook - uncover insights, surface problems, monitor, and fine tune your models.
Not sure where to start with AI? Browse the Breeze Use Case Library to find the right use case for your sales, marketing, or service workflow.
Manage fleets of local and cloud agents from one surface. Plan, delegate, review, and ship without leaving your editor.
Lifelines is a complete survival analysis library, written in pure Python.
Free open-source SPSS alternative — menu-driven desktop statistics (t-tests, ANOVA, regression, survival analysis, ROC) with SPSS.sav import/export.
A Techie Tech Blog on Master Data Management And Every Buzz Surrounding It.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A simple Python library for building and testing recommender systems.
Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.
Animations and instructional videos about neural networks.
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.
Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
Browser-based visual editor for designing neural networks and automatically generating PyTorch and TensorFlow code.
Neural networks in JavaScript - continued community fork of Brain.
The iOS and OS X neural network framework.
Fast, flexible and fun neural networks. This is the successor of PyBrain.
Theano based library for deep and recurrent neural networks.
Layer - Neural network inference from the command line, implemented in.
Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.