A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

Efficient Image Captioning code in Torch, runs on GPU

The codes I made while I practiced various TensorFlow examples

Python Deep Dive Course - Accompanying Materials

My solution to the book <A collection of Data Science Take-home Challenges>

A pedagogical implementation of Autograd

A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.

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"

fast.ai Courses

Korean BERT pre-trained cased (KoBERT)

Introduction to Deep Learning for Natural Language Processing

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Deep Learning Cookbox

Preparing for machine learning interviews

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

fast.ai early development experiments

Code, exercises and tutorials of my personal blog ! 📝

Time series classification and clustering code written in Python.