The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
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The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
:zap: A Fast, Extensible Progress Bar for Python and CLI
- progressbar
- progressmeter
- progress-bar
- meter
GUI for a Vocal Remover that uses Deep Neural Networks.
- vocal-remover
- pytorch
- source
- separation
A privacy-first app that strips AI watermarks from content you own.
Data Apps & Dashboards for Python. No JavaScript Required.
Turns Data and AI algorithms into production-ready web applications in no time.
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!
The Classical Language Toolkit
A git hook that won't let you push code you can't explain. Quizzes you on your own diff. Works with Claude Code, Codex, Cursor.
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
- agent-evaluation
- agentic-ai
- ai-agents
- awesome
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
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
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.