Clone a voice in 5 seconds to generate arbitrary speech in real-time
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Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
- calibration
- classification
- decision-model
- huggingface
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
- deep-learning
- diffusion
- image-generation
- pytorch
Visualizer for neural network, deep learning and machine learning models
📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
Stable Diffusion with Core ML on Apple Silicon
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
- java
- gpu
- deeplearning
- neural-nets
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
- deep-learning
- pytorch
- grad-cam
- visualizations
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
- artificial-intelligence
- deep-learning
- generative-model
- score-matching
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
- natural-language-processing
- nlp
- nlp-parsing
- named-entity-recognition
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
- machine-learning
- decision-trees
- gradient-boosting
- gbm
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
- dataframe
- python
- bigdata
- tabular-data
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
- ai
- code-intelligence
- dead-code
- developer-tools
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
Largest list of models for Core ML (for iOS 11+)
- coreml
- coreml-model
- apple
- machine-learning
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
- cntk
- visualization
- tensorflow
- model-converter
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
The animation engine for agents: blazingly fast math and 3D videos with Manim's Python API, on a Rust GPU core.
Assist in organizing your piles of documents, resulting from scanners, e-mails and other sources with miminal effort.
- ocr
- stanford-corenlp
- personal-document-system
- scala
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.