schlagercollin
Research Engineer @ Meta Reality Labs Prev @ Stanford (Bio/CS/ML) cs.stanford.edu/~schlager
New York, NY
Pinned Repositories
ssm-jax
Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
AssignmentOne
New iOS project template with SwiftUI.
cs231n-firefighters
This package takes real-time satellite RGB, infrared, UV and other nominal spectra imagery and applies custom convolutional neural networks to predict forest fires across a variety of geographies.
CS236-Project
Learning to groove: using deep generative models to perform conditional melody generation given a baseline
CS279
Modeling Gray-Scott reaction-diffusion models.
depMapScreener
Run virtual screening experiments using the Broad Institute's DepMap
hydrophobicity
Window analysis protein hydrophobicity web-app
meta-learning-music
Meta-learning musical style in few-shot fashion using MAML and deep generative models.
screen_analyzer
A webapp for CRISPR/Cas9-mediated genomic screen analysis.
ssm
Bayesian learning and inference for state space models
schlagercollin's Repositories
schlagercollin/depMapScreener
Run virtual screening experiments using the Broad Institute's DepMap
schlagercollin/CS236-Project
Learning to groove: using deep generative models to perform conditional melody generation given a baseline
schlagercollin/hydrophobicity
Window analysis protein hydrophobicity web-app
schlagercollin/meta-learning-music
Meta-learning musical style in few-shot fashion using MAML and deep generative models.
schlagercollin/screen_analyzer
A webapp for CRISPR/Cas9-mediated genomic screen analysis.
schlagercollin/ssm
Bayesian learning and inference for state space models
schlagercollin/AssignmentOne
New iOS project template with SwiftUI.
schlagercollin/covid-mrna-degradation
Investigating mRNA degradation with applications to covid-19 vaccine development
schlagercollin/cs231n-firefighters
This package takes real-time satellite RGB, infrared, UV and other nominal spectra imagery and applies custom convolutional neural networks to predict forest fires across a variety of geographies.
schlagercollin/CS279
Modeling Gray-Scott reaction-diffusion models.
schlagercollin/CardinalKit-CS342-Web
schlagercollin/cleodonnew-repo
schlagercollin/collin-www
schlagercollin/detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
schlagercollin/flax
Flax is a neural network library for JAX that is designed for flexibility.
schlagercollin/generative-memes
schlagercollin/google-research
Google AI Research
schlagercollin/GraphMemoryNet
Memory-Based Graph Networks
schlagercollin/Hella
Documentation and Code for SeeR, leveraging the power of deep learning for cybersecurity.
schlagercollin/library_annotator
Annotates library files for CRISPR/Cas9 knockout screens.
schlagercollin/molecular-property-predictor
schlagercollin/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
schlagercollin/r-shiny-electron
Electron and R shiny
schlagercollin/stats215