Urbanist is a low-contrast, geometric sans-serif inspired by Modernist design and typography.
- font
- typography
- glyphs
- ofl
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Urbanist is a low-contrast, geometric sans-serif inspired by Modernist design and typography.
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Nimfa: Nonnegative matrix factorization in Python
A Euclidean diffusion model for structure-based drug design.
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Ming-3.0-tts is an open-source TTS model family with 0.5B dense and 7.9B-A1.3B MoE variants, supporting multilingual speech, voice cloning, voice design, and natural-language control.
Translated斑海豹 (Spotted Seal) — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions.
Language Model GRU with Python and Theano
v1.2 - UI tool for manage Espressif ESP32 microcontrollers with embedded MicroPython for MacOS, Windows and Linux: mini IDE, files manager, REPL, real time dashboards (sys/net), advanced features (gpio/mp3/leds/...)
A serialization/deserialization/validation library for strings, mappings and lists.
Android Studio / Eclipse ADT template for material-design-icons resources
Deep Learning Resources and Tutorials using Keras and Lasagne
🎆 A visualization of the CapsNet layers to better understand how it works
Turkish voice design with VoxCPM2 on a 4 GB GPU: describe a voice, pick a variant, read text in 30 languages. Patched audio.cpp, local UI in 30 languages, 14 ready-made voices.
a parametric variable font by David Berlow
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
The Simplest DCGAN Implementation
TranslatedA basic tutorial for getting started with AI Agents from zero background. It is not just a tutorial but also an Agent that can run locally: read and write files, execute commands, MCP, long-term memory, with a built-in web interface to see every step clearly. Starting from a minimal 100-line loop, each lesson adds one capability, and in the end it breaks down mainstream Agents such as Claude Code and Codex
Lecture and lab slides for EECS 498 AASE (Applied Agentic Software Engineering), UMich Fall 2026
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ROS support for the MiR Robots. This is a community project to use the MiR Robots with ROS. It is not affiliated with Mobile Industrial Robots.
Solve automatic numerical differentiation problems in one or more variables.