Clone a voice in 5 seconds to generate arbitrary speech in real-time
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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Fast and Accurate ML in 3 Lines of Code
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
A python library for user-friendly forecasting and anomaly detection on time series.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Scalable and user friendly neural :brain: forecasting algorithms.
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Portfolio optimization with deep learning.
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.