Stars
Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"
Toward Universal Text-to-Music-Retrieval (TTMR) [ICASSP23]
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
A collection of resources and papers on Diffusion Models
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
End-to-end ASR/LM implementation with PyTorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
WIP: Roadmap to becoming a machine learning engineer in 2020
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002
Survey of Surveys for Natural Language Processing (SOS4NLP)
State-of-the-Art Text Embeddings
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
☁️ Build multimodal AI applications with cloud-native stack
Flexible components pairing 🤗 Transformers with ⚡ Pytorch Lightning
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing
Low-code pre-built pipelines for experiments with huggingface/transformers for Data Scientists in a rush.
PyTorch deep learning projects made easy.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Tensors and Dynamic neural networks in Python with strong GPU acceleration