d1hr2uv's Stars
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
molecularinformatics/Computational-ADME
neuraloperator/neuraloperator
Learning in infinite dimension with neural operators.
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
OrensteinLab/G4detector
d1hr2uv/KANO
Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".
aspuru-guzik-group/group-selfies
reasoning-survey/Awesome-Reasoning-Foundation-Models
✨✨Latest Papers and Benchmarks in Reasoning with Foundation Models
Starlien95/GraphPrompt
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
schwallergroup/ai4chem_course
EPFL CH-457 "AI for chemistry"
HazyResearch/hyena-dna
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
pytorch/translate
Translate - a PyTorch Language Library
aws-samples/aws-genomics-workflows
Genomics Workflows on AWS
johnma2006/mamba-minimal
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
HUBioDataLab/SELFormer
SELFormer: Molecular Representation Learning via SELFIES Language Models
Abdulk084/Smiles2vec
Proof of the concept implementation of smiles2vec paper
SJTU-IPADS/PowerInfer
High-speed Large Language Model Serving on PCs with Consumer-grade GPUs
AspirinCode/papers-for-molecular-design-using-DL
List of Molecular and Material design using Generative AI and Deep Learning
LukeDitria/pytorch_tutorials
Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!