Lists (4)
Stars
Exploring how tokenization shapes the performance and generalization of single-cell foundation models.
PULSAR: a Foundation Model for Multi-scale and Multicellular Biology
for messier scRNA datasets coming from multiple samples, creating metacells (combining transcriptomes from multiple cells of the same sample) can be very useful. Other use cases include creating av…
GASTON: deep learning algorithm learns "topography" of a tissue slice from spatial transcriptomics data
Baby Dragon Hatchling (BDH) – Architecture and Code
Demo notebooks for using SenNet data
Transcription Factor Motif Instance Neighborhood Decomposition and Interpretation
🎼 Integrate multiple high-dimensional datasets with fuzzy k-means and locally linear adjustments.
R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data
Marlene, a method to recover temporal gene regulatory networks.
CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.
Biomni: a general-purpose biomedical AI agent
computer vision models for single-cell phenotyping
[NeurIPS 2024] Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
STREAM2: Fast, scalable, and interactive trajectory analysis of single-cell omics data
Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
homework answer for UCB cs285 deepRL
AIDO.ModelGenerator is a software stack powering the development of an AI-driven Digital Organism (AIDO) by enabling researchers to adapt pretrained models and generate finetuned models for downstr…