iliazenkov Goto Github PK
Name: Ilia Zenkov
Type: User
Bio: LLM Technical Lead @ eSentire
Location: Toronto, ON
Ilia Zenkov's Projects
async-pubmed-scraper
PubMed scraper for async search on a list of keywords and concurrent extraction of all found URLs, returning a DataFrame/CSV containing all article data (title, abstract, authors, affiliations, etc)
autogptq
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
build_and_test_examples
Examples of build scripts and unit test frameworks for various languages, and how these can be used with the Jenkins continuous integration server. Contact: @mikej888
dcgan-rectangular-ganhacks2
A DCGAN implementing all the tricks from recent papers up to 2020 and from all over the internet. Trained on CelebA at 157x128. "GAN Hacks 2", if you will.
fcs-manager
Enables manipulation of FCS3.0 and FCS3.1 files using PANDAS DataFrames for convenient file type conversions and feed-through into automated flow data processing and visualization pipelines
ising-model-mcmc
Implementations of the 1D and 2D Ising Models in Python using a Metropolis-Hastings Markov Chain Montre Carlo (MCMC) algorithm
latex-resume
My resume and cover letter, built using LaTeX
nlp-keras-nltk-lime
Classification of tweets pertinent to disaster events. NLP basics with a focus on text embedding, interpretability and the use of LIME, and Keras to build a 1D CNN
phys-simulations
A collection of my Python projects experimenting with physical models and simulation in Jupyter notebook
python-algos-and-structs
A comprehensive collection of data structures and algorithms written in Python
python-package-continuous-integration
A simple find_substrings package I created to get familiar with automated CI with Travis, pytest, and tox
scikit-bio-cookbook
Recipes for bioinformatics analyses with scikit-bio
selfies
Robust representation of semantically constrained graphs, in particular for molecules in chemistry
sklearn-audio-classification
An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
transformer-cnn-emotion-recognition
Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between
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