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A pytorch library for graph and hypergraph computation.
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
The official gpt4free repository | various collection of powerful language models
Repository for the Star Wars Thematic Corpus (SWTC)
a list of demo websites for automatic music generation research
Implementation of DiffWave and SaShiMi audio generation models
Structured state space sequence models
Creative Machine Learning course and notebook tutorials in JAX, PyTorch and Numpy
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper
Official repository of the paper "Solving Audio Inverse Problems with a Diffusion Model", submitted to ICASSP 23
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
Official implementation of compound word transformer (AAAI'21)
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Convert any music library into a music production sample-library with ML
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
A playbook for systematically maximizing the performance of deep learning models.
Compositional Differentiable Programming Library