Pinned Repositories
DNA-Sequencing
AlgorithmVisualizer
Algorithm Visualizer
bootcamp
Caltech Introduction to Programming for the Biological Science Bootcamp
bp219
DeepProfiler
Morphological profiling using deep learning
final-nn
Implement a generic neural network class and use it for autoencoding and classifying.
HW1-FAST-AQ-Parser
Building a FAST[AQ] Parser + Building a DNA -> RNA Transcriber
HW2-BFS
HW2 BFS
Math127
tlouskt.github.io
under construction !!11
tlouskt's Repositories
tlouskt/AlgorithmVisualizer
Algorithm Visualizer
tlouskt/bootcamp
Caltech Introduction to Programming for the Biological Science Bootcamp
tlouskt/bp219
tlouskt/DeepProfiler
Morphological profiling using deep learning
tlouskt/final-nn
Implement a generic neural network class and use it for autoencoding and classifying.
tlouskt/HW1-FAST-AQ-Parser
Building a FAST[AQ] Parser + Building a DNA -> RNA Transcriber
tlouskt/HW2-BFS
HW2 BFS
tlouskt/Math127
tlouskt/tlouskt.github.io
under construction !!11
tlouskt/hw3-clustering
tlouskt/hw4-prim-mst
Implement Prim's algorithm to construct a minimum spanning tree.
tlouskt/HW5-NW
Project 5: Needleman-Wunsch Global Alignment
tlouskt/hw6-hmm-viterbi
Implementation of the Viterbi algorithm, a dynamic program that is a common decoder for Hidden Markov Models (HMMs).
tlouskt/hw7-regression
Implement a logistic regression classifier using gradient descent.
tlouskt/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
tlouskt/single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"