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Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Taming Transformers for High-Resolution Image Synthesis
High-Resolution Image Synthesis with Latent Diffusion Models
A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ulti…
A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, …
Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
A library to inspect and extract intermediate layers of PyTorch models.
Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Notes monorepo for the UniBO Artificial Intelligence MSc.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
A python library for user-friendly forecasting and anomaly detection on time series.
A unified framework for machine learning with time series
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
List of tools & datasets for anomaly detection on time-series data.
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
A unified framework for Deep Learning Models on tabular data
A resource for learning about Machine learning & Deep Learning
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multi…
An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥