The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
Repository Index
47,133 repositories indexed
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GUI for a Vocal Remover that uses Deep Neural Networks.
- vocal-remover
- pytorch
- source
- separation
A simple screen parsing tool towards pure vision based GUI agent
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
- ai
- artificial-intelligence
- guide
- midjourney
TranslatedConvert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。
- dain
- huoshan-tts
- microsoft-tts
- rife-gui
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
Curated List: Practical Natural Language Processing done in Ruby
The Classical Language Toolkit
Curated list of open-access/open-source/off-the-shelf resources and tools developed with a particular focus on German
- nlp
- corpus-linguistics
- german-language
- computational-linguistics
Official implementation of “UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space.”
TestDino Playwright Skill: AI-powered guides for Playwright best practices, made by testdino.com.
- ai
- ai-skills
- antigravity-skills
- claude-skills
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
- tensorflow
- lstm
- rnn
- stacked-layers
A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.
- embodied-ai
- gui-grounding
- object-detection
- ocr
A list of Indonesian NLP resources.
- natural-language-processing
- corpus-linguistics
- indonesian-language
A curated list of NLP resources for Hungarian
- nlp
- natural-language-processing
- text-mining
- information-retrieval
Agent skill: outline, mask and count objects in photos with Meta's SAM 3 on your own NVIDIA GPU, with review, exports and a viewer. Works with Claude Code, Codex, Cursor, Pi and other Agent Skills clients.
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
- hyperopt
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameters-optimization
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
- biological-images
- root
- painter
- segmentation
🚀 Production-ready AI-friendly Go REST API boilerplate with Clean Architecture, JWT auth, RBAC, PostgreSQL migrations, and highly tested. AI-optimized with built-in guidelines for most used IDEs. Docker hot-reload, Swagger docs, one-command setup. Build production APIs in minutes, not weeks.
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
- image-processing
- images
- image-analysis
- deep-learning
An interactive tool for segmenting yeast cells using deep learning.
Ruby based API for the project Wortschatz Leipzig.
- rubynlp
- ruby
- nlp
- natural-language-processing
🗺️ Developer Roadmaps — 20 career paths, 870+ topics, 1,880+ free resources. PWA, certifications, community-driven. Your free guide from beginner to senior dev.
:wrench: Hardware & computer guide for AI: how to choose & build a computer. This guide is intended for beginers in hardware, in order to plan what you need and how to choose parts for a computer specialized in Deep Learning. 🤖