Fast Python Collaborative Filtering for Implicit Feedback Datasets
- collaborative-filtering
- machine-learning
- matrix-factorization
- recommender-system
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Fast Python Collaborative Filtering for Implicit Feedback Datasets
Modern Django Admin
adds flavor of interactive filtering to the traditional pipe concept of UNIX shell
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
🤖 Open-source, local-first alternative to Grok Bot, OpenAI dots and Claude Duet. Your own AI bots on any model: GPT, Claude, Gemini, Grok, DeepSeek, Kimi, GLM and 70+ more through one Modelflare key. Reach them in the app, WeChat or Feishu; they remember you, work in the background, run commands and use your computer. Pay per use.
🎚️ Open Source Audio Matching and Mastering
This library provides common speech features for ASR including MFCCs and filterbank energies.
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Modern REST framework for Django with types and async support!
A neovim plugin for interactively running code with the jupyter kernel. Fork of magma-nvim with improvements in image rendering, performance, and more
TranslatedImage-driven 3D scene generation system. Users provide a reference image and prompt words, and the system generates previewable, replayable, and traceable scene results according to the camera trajectory; official 3D demonstration assets allow direct viewing of color/depth animations and Gaussian point clouds in the browser. Image-driven 3D scene generation system
TranslatedNot a Q&A bot, but a digital twin that can actually get work done. Agents and project context are shared, so all project members can work together. At the same time, agents, like people, abstract and summarize experience from materials or work into the project context.
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
Real-time network monitor + outbound firewall — see & block every connection. Privacy-first, local-first, Rust fleet agent, SIEM exports, 8 languages. / Moniteur réseau temps réel + pare-feu sortant, agent de flotte Rust, exports SIEM. 100 % local.
Claudemy: an open-source alternative to Udemy and Coursera. Give Claude a topic, it researches the web and builds a course of 2-minute audio lessons with cited sources. A free Claude Code skill.
Rebuild a reference video as an editable HyperFrames project, compare the match against the original, and export an MP4.
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.
A Python native dynamical system simulation framework in the block diagram paradigm.
Multi-user anti-filtering panel, with an effortless installation and supporting more than 20 protocols to circumvent filtering plus the telegram proxy.
:sound: spafe: Simplified Python Audio Features Extraction
Awesome list of AI reverse engineering and rebuilds: what AI agents took apart and recreated, and which ones really used REA (Reverse Engineer Anything).
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.