Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
- audio-generation
- gpt-4o
- text-to-speech
- tts
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Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
TranslatedAI-based tool for removing hard-coded subtitles and text-like watermarks from videos or Pictures. It removes hard-coded subtitles and text watermarks from images/videos and generates subtitle-free, watermark-free image/video files at lossless resolution. No third-party API application is needed; it runs locally.
Refine high-quality datasets and visual AI models
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Deep Reinforcement Learning for Keras.
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
Lightweight library to build and train neural networks in Theano
Clean PyTorch implementations of imitation and reward learning algorithms
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
A Theano framework for building and training neural networks
Self-contained Japanese Morphological Analyzer written in pure Go
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
Parse human names into title, given, middle, family, suffix, nickname and maiden name. Typed, zero-dependency, CJK-aware.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
A Euclidean diffusion model for structure-based drug design.
Translated🐾 Purrge — a macOS AI disk cleanup tool that supports Claude Code and Codex: it alerts you when space is low, the AI judges item by item what can be cleaned, and it only cleans up after you tick the items and confirm
On-device Vision Model - a fully offline, free vision pipeline that gives text-only models (e.g. DeepSeek) image understanding and multilingual OCR through an OpenAI-compatible local API. Only tokens are needed: no API key, no subscription, no cloud cost. Recommended for native speakers of Chinese, English, Japanese and Korean.
k-means clustering in Ruby
GPTModels - a multi model, window based LLM AI plugin for neovim, with an emphasis on stability and clean code