Pinned Repositories
ai_foundations
Short fundamental functions
bigrams_mimic
Takes in a text doc and creates a bigram data structure for each word. Randomly chooses from associated words to create new output that almost sounds normal-ish.
branch_rejoin_test
cherokee_rescue
Neural Machine Translation with RNNs
gene_expression
Utilize KNN and Gene Set Enrichment Analysis to classify gene expression data from endometriosis patients and controls
plink_plink
Running GWAS on Parkinson's dataset using PLINK
protein_folding
Protein structure prediction ab initial using Monte Carlo sampling, Metropolis criterion, PyRosetta’s FastRelax and an energy eval using RMSD.
seq_align
Smith-Waterman and Needleman-Wunsch algorithms for seq alignment using dynamic programming
shell_profile
Bayesian model to predict the identity of protein binding site, feature grouping
tanimoto
Drug ligand similarity and associated protein targets
jvtanner's Repositories
jvtanner/cherokee_rescue
Neural Machine Translation with RNNs
jvtanner/protein_folding
Protein structure prediction ab initial using Monte Carlo sampling, Metropolis criterion, PyRosetta’s FastRelax and an energy eval using RMSD.
jvtanner/branch_rejoin_test
jvtanner/gene_expression
Utilize KNN and Gene Set Enrichment Analysis to classify gene expression data from endometriosis patients and controls
jvtanner/plink_plink
Running GWAS on Parkinson's dataset using PLINK
jvtanner/seq_align
Smith-Waterman and Needleman-Wunsch algorithms for seq alignment using dynamic programming
jvtanner/shell_profile
Bayesian model to predict the identity of protein binding site, feature grouping
jvtanner/tanimoto
Drug ligand similarity and associated protein targets
jvtanner/breast_cancer
jvtanner/car_tracking
Emission probabilities, transition probabilities, and particle filtering to track cars via sensor
jvtanner/course_scheduling
Weighted Constraint Satisfaction Problem (CSP) with backtracking search and most constrained variable (MCV)
jvtanner/deeper_dive
How to improve the performance of NN
jvtanner/deeper_thinking
Neural network approach to Deep Learning
jvtanner/drug_network
Analysis of compound-target relationships
jvtanner/emoji_dinosaurs
Sequence modeling
jvtanner/handy_np4ml
CS230: Useful basic numpy package for ML applications
jvtanner/jvtanner
jvtanner/kitty_cat
Logistic regression with simple neural network
jvtanner/language_to_logic
Propositional logic, first-order logic, liar puzzle, logical inference, prove mathematical theorems, semantic parsing
jvtanner/Pac-Man
Minimax agents, alpha-beta pruning, expectimax
jvtanner/peeking_blackjack
Markov Decision Processes and Q Learning
jvtanner/psychic_pie
Thorough walkthrough of scientific python
jvtanner/question_answer
jvtanner/sentiment_analysis
A binary classifier that reads movie reviews and predicts whether "positive" or "negative". Construct k-means clusterer.
jvtanner/shiny_transformer
Finetuning a Transformer to perform Q&A
jvtanner/so_convoluted
Convolution Neural Networks
jvtanner/text_reconstruction
n-gram language model and uniform cost search
jvtanner/timely_wearable
jvtanner/vanilla_transformer
jvtanner/word2vec
Simple neural net coded out in only Python to gain intuitive understanding of architecture and function