Pinned Repositories
assemblies
ASystemsNeuroscienceApproachtoContinualLearning
Columbia-2020-COVID19
COVID-19-Los-Angeles
Tracking and analysis of COVID-19 cases in the Los Angeles region
DREAM
ecephys_spike_sorting
Modules for processing extracellular electrophysiology data from Neuropixels probes
keras
Deep Learning for humans
Long-Term-Memory-Stabilized-by-Noise-Induced-Rehearsal
implementation of Long-Term Memory Stabilized by Noise-Induced Rehearsal
pairs-trading
Quantitative Trading Strategies within the regime of Statistical Arbitrage
recogmem-release-NWB
A NWB-based Dataset and Processing Pipeline of Human Single-Neuron Activity During a Declarative Memory Task
nandchandravadia's Repositories
nandchandravadia/COVID-19-Los-Angeles
Tracking and analysis of COVID-19 cases in the Los Angeles region
nandchandravadia/pairs-trading
Quantitative Trading Strategies within the regime of Statistical Arbitrage
nandchandravadia/assemblies
nandchandravadia/ASystemsNeuroscienceApproachtoContinualLearning
nandchandravadia/Columbia-2020-COVID19
nandchandravadia/DREAM
nandchandravadia/ecephys_spike_sorting
Modules for processing extracellular electrophysiology data from Neuropixels probes
nandchandravadia/keras
Deep Learning for humans
nandchandravadia/Long-Term-Memory-Stabilized-by-Noise-Induced-Rehearsal
implementation of Long-Term Memory Stabilized by Noise-Induced Rehearsal
nandchandravadia/nandchandravadia.github.io
nandchandravadia/nwb_hackathons
Repository for collecting materials from nwb hackathons
nandchandravadia/recitations
Recitation notes for cs3157, the C systems programming course with a narrative
nandchandravadia/SimpleSpikingModels
nandchandravadia/srh_cnn
Code repository for our paper titled "Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks" published in Nature Medicine, January 2020
nandchandravadia/SurfaceCurvature
Computation of Surface Curvature from Range Images Using Geometrically Intrinsic Weights
nandchandravadia/tensorflow
Computation using data flow graphs for scalable machine learning
nandchandravadia/TheoryofGatedRNNs
nandchandravadia/working_memory_assembly