Stars
A single model for all your molecular design tasks
Molecular fingerprint prediction from MS/MS (FingerID).
The similarity score for spectral comparison
Official repository of open data MassBank records
DreaMS (Deep Representations Empowering the Annotation of Mass Spectra)
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
Repository for Multitask Toxicity with Contrastive Explanation
Simple Activity prediction with transformers from mobile sensor data
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
A basic conversational agent with short-term (session-based) memory. Includes two way dialogue using OpenAI Whisper for speech-to-text and ElevenLabs for text-to-speech.
DeepSMILES - A variant of SMILES for use in machine-learning
Robust representation of semantically constrained graphs, in particular for molecules in chemistry
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Deep learning similarity measure for comparing MS/MS spectra with respect to their chemical similarity
Python library for processing (tandem) mass spectrometry data and for computing spectral similarities.
An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
A simple but complete full-attention transformer with a set of promising experimental features from various papers