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JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
All Algorithms implemented in Python
A collection of design patterns/idioms in Python
Metric learning and retrieval pipelines, models and zoo.
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
A game theoretic approach to explain the output of any machine learning model.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Deep Speech Distances PyTorch
Python Backtesting library for trading strategies
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
VQVAEs, GumbelSoftmaxes and friends
Implementation of Unsupervised Audio Spectrogram Compression using Vector Quantized Autoencoders
Pytorch implementation of "A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences", Pranay Manocha et al. - unofficial work in progress
Perceptual Metrics of Audio - perceptually relevant loss function. DPAM and CDPAM
Pytorch implementation of "Efficienttts: an efficient and high-quality text-to-speech architecture"
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit