A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.
MIT License
PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-prot...
Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
The PyTorch-based audio source separation toolkit for researchers
An offline deep reinforcement learning library
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for...
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
Easily train or fine-tune SOTA computer vision models with one open source training library. The ...
[ICLR 2024] Domain-Agnostic Molecular Generation with Chemical Feedback
An extension of Open3D to address 3D Machine Learning tasks
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
A deep learning package for many-body potential energy representation and molecular dynamics
Protein Graph Library
An I/O benchmark for deep Learning applications
Measures and metrics for image2image tasks. PyTorch.