Alexey Demyanchuk's Projects
Official content for the Fall 2014 Harvard CS109 Data Science course
Config files for my GitHub profile.
A complete computer science study plan to become a software engineer.
The 3rd edition of course.fast.ai - coming in 2019
code for Data Science From Scratch book
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Tool to anonymize DICOM files according to the DICOM standard
Practice Data Structures and Algorithms
Repository to work on Fastai ML course
The fast.ai deep learning library, lessons, and tutorials
collection of dot config files for hyprland with a simple install script for a fresh Arch linux with yay
Intellectual Systems Course
google_revenue competition on kaggle
This repo is for working on NLTK tutorials.
Inference Llama 2 in many files of pure? Rust (karpathy's llama.c port).
Inference Llama 2 in one file of pure C
Moco contrastive unsupervised pretraining on Nih Chest X-Rays dataset.
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Simple baseline for Protein Atlas Kaggle Competition with fastai v1 https://github.com/fastai/fastai
DeepLab v3+ model in PyTorch. Support different backbones.