EmotiVoice
cuml
| EmotiVoice | cuml | |
|---|---|---|
| 5 | 10 | |
| 6,369 | 3,926 | |
| - | 1.7% | |
| 8.9 | 9.3 | |
| 3 months ago | 5 days ago | |
| Python | C++ | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
EmotiVoice
- FLaNK Stack Weekly 12 February 2024
-
WhisperSpeech โ An Open Source text-to-speech system built by inverting Whisper
Interested to see how it performs for Mandarin Chinese speech synthesis, especially with prosody and emotion. The highest quality open source model I've seen so far is EmotiVoice[0], which I've made a CLI wrapper around to generate audio for flashcards.[1] For EmotiVoice, you can apparently also clone your own voice with a GPU, but I have not tested this.[2]
[0] https://github.com/netease-youdao/EmotiVoice
[1] https://github.com/siraben/emotivoice-cli
[2] https://github.com/netease-youdao/EmotiVoice/wiki/Voice-Clon...
-
Microsoft releases Windows AI studio to run and fine tune models locally
Interesting. I'll have to check to be sure, but I think maybe something is happening automagically if you have reasonably up to date nvidia drivers on the host OS, because I was able to run the EmotiVoice TTS docker (which requires nvidia gpu) from WSL2.
https://github.com/netease-youdao/EmotiVoice
- FLaNK Stack Weekly for 13 November 2023
- EmotiVoice: A Multi-Voice and Prompt-Controlled TTS Engine
cuml
- FLaNK Stack Weekly for 13 November 2023
-
Is it possible to run Sklearn models on a GPU?
sklearn can't, bit take a look at cuML (https://github.com/rapidsai/cuml ). It uses the same API as sklearn but executes on GPU.
-
[P] Looking for state of the art clustering algorithms
As a companion to the other comments, I'd like to mention that the RAPIDS library cuML provides GPU-accelerated versions of quite a few of the algorithms mentioned in this thread (HDBSCAN, UMAP, SVM, PCA, {Exact, Approximate} Nearest Neighbors, DBSCAN, KMeans, etc.).
-
Is there a multi regression model that works on GPU?
CuML
- [D] What's your favorite unpopular/forgotten Machine Learning method?
- Machine Learning with PyTorch and Scikit-Learn โ The *New* Python ML Book
-
What are the advantages and disadvantages of using GPU for machine learning/ deep learning/ scientific computation over the conventional CPU software acceleration?
Did they implement the clustering algorithm themselves? cuML is a GPU-accelerated scikit-learn-like package that covers many of the common ML algorithms.
-
Intel Extension for Scikit-Learn
https://github.com/rapidsai/cuml
> cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn. For large datasets, these GPU-based implementations can complete 10-50x faster than their CPU equivalents. For details on performance, see the cuML Benchmarks Notebook.
-
GPU Based Kernel-PCA
Cython code
-
Python Machine Learning Guy getting started with CUDA. What should I be brushing up on?
Take a look at RAPIDS CUML https://github.com/rapidsai/cuml. It's useful for most common ML algorithms. Feel free to create Github issues for feature requests & bugs.
What are some alternatives?
Cgml - GPU-targeted vendor-agnostic AI library for Windows, and Mistral model implementation.
scikit-learn - scikit-learn: machine learning in Python
TTS - ๐ธ๐ฌ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
scikit-learn-intelex - Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
draw-a-ui - Draw a mockup and generate html for it
scikit-cuda - Python interface to GPU-powered libraries
MockingBird - ๐AIๆๅฃฐ: 5็งๅ ๅ ้ๆจ็ๅฃฐ้ณๅนถ็ๆไปปๆ่ฏญ้ณๅ ๅฎน Clone a voice in 5 seconds to generate arbitrary speech in real-time
hummingbird - Hummingbird compiles trained ML models into tensor computation for faster inference.
lhotse - Tools for handling speech data in machine learning projects.
cudf - cuDF - GPU DataFrame Library
voice100 - Voice100 includes neural TTS/ASR models. Inference of Voice100 is low cost as its models are tiny and only depend on CNN without autoregression.
evojax