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@prescient-design, Genentech
- NYC
- namukpark.com
- @xxxnell
Stars
VSCode Extension for interactively visualising protein structure data in the editor
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…
Official repository for the Boltz-1 biomolecular interaction model
BABILong is a benchmark for LLM evaluation using the needle-in-a-haystack approach.
Doing simple retrieval from LLM models at various context lengths to measure accuracy
An open source implementation of CLIP.
(TPAMI2022) The ImageNet-S benchmark/method for large-scale unsupervised/semi-supervised semantic segmentation.
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity
oxpig / Graphinity
Forked from amhummer/GraphinityGraphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity
Python interface for the RCSB PDB search API.
PINDER: The Protein INteraction Dataset and Evaluation Resource
Lbster: Language models for Biological Sequence Transformation and Evolutionary Representation
Model Stock: All we need is just a few fine-tuned models
ViT Prisma is a mechanistic interpretability library for Vision Transformers (ViTs).
A Modular Architecture for Deep Learning Systems
[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
TensorFlow code and pre-trained models for BERT
MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration
Protein structure datasets for machine learning.
Official Pytorch implementation of "CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion" (TMLR 2024)
Official implementation of our TIV'23 paper: Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders