wolverine3301

wolverine3301's Stars

• unclecode/crawl4ai

  🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper

  Language:Python11.4k795

• shirosaidev/stocksight

  Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

  Language:Python2.1k465

• Rayhane-mamah/Tacotron-2

  DeepMind's Tacotron-2 Tensorflow implementation

  Language:Python2.3k905

• maitraysuthar/rest-api-nodejs-mongodb

  A boilerplate for REST API Development with Node.js, Express, and MongoDB

  Language:JavaScript1.2k422

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript27.8k2.8k

• matthewvowels1/Awesome-VAEs

  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

  78077

• oscarknagg/voicemap

  Identifying people from small audio fragments

  Language:Python16973

• ybayle/awesome-deep-learning-music

  List of articles related to deep learning applied to music

  Language:TeX2.8k342

• chitralekha18/AutoLyrixAlign

  Pre-trained model and script to automatically align lyrics to polyphonic audio

  1016

• keithito/tacotron

  A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

  Language:Python3k959

• amrondonp/Chords.py

  Neural networks applied in recognizing guitar chords using python, AutoML.NET with C# and .NET Core

  Language:C#308

• rosinality/vq-vae-2-pytorch

  Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

  Language:Python1.6k270

• sarus-tech/tf2-published-models

  Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

  Language:Python375

• AnzorGozalishvili/autoencoders_playground

  Playing with several types of autoencoders with supervised, unsupervised and semi-supervised learning objectives.

  Language:Jupyter Notebook2

• marl/medleydb

  Language:Python17741

• CorentinJ/Real-Time-Voice-Cloning

  Clone a voice in 5 seconds to generate arbitrary speech in real-time

  Language:Python52.3k8.8k

• 641i130/ddb-extraction

  Extract the samples of a DDB Vocaloid file.

  Language:Python375

• mathigatti/RealTimeSingingSynthesizer

  Live Coding Singing Synthesizer. Python sinsy-NG wrapper.

  Language:C596

• VocaDB/vocadb

  VocaDB is a Vocaloid Database with translated artists, albums, music videos and more.

  Language:C#33640

• stakira/OpenUtau

  Open singing synthesis platform / Open source UTAU successor

  Language:C#2.1k286

• s-macke/SAM

  Software Automatic Mouth - Tiny Speech Synthesizer

  Language:C1.2k269

• rupakvignesh/Lyrics-to-Audio-Alignment

  Aligns text (lyrics) with monophonic singing voice (audio). The algorithm uses structural segmentation to segment the audio into structures and then uses hidden markov models to obtain alignment within segments. The final alignment is concatenation of time stamps of lyrics within the segments for each song.

  Language:Python8922

• f90/jamendolyrics

  Jamendo music dataset with time-aligned lyrics for lyrics alignment evaluation

  Language:Python7310

• gabolsgabs/DALI

  DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes.

  Language:Python34833

• soumya1995/stock-market-predictor

  A data model written with Python, Sci-kit learn and TensorFlow to predict future stock price

  Language:Jupyter Notebook31

• jarney/fftmusings

  Project applying neural networks to audio data, in particular, attempting to train an LSTM to recognize and reproduce music based on raw music samples. Uses FFT/Phase Vocoder for input followed by an autoencoder and then an LSTM with a mixture density cost function to model the sequence of data.

  Language:Java51

• widget-/bpm-detect

  Java program to analyze music and control lights through an Arduino accordingly

  Language:Java261

• janishar/mit-deep-learning-book-pdf

  MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

  Language:Java12.8k2.7k

• NicholasMamo/multiplex-plot

  Multiplex: visualizations that tell stories—A Python library to create and annotate beautiful network graph visualizations, text visualizations and more.

  Language:Python10916

• goodrahstar/draw-neural-network

  Quick tool to draw fully connected neural network architectures

  425