A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Knowledge distillation implemented in TensorFlow

Data Science with Python Pandas

🍬Some papers & books I’ve read.

This workshop has been deprecated check out the new workshop here https://github.com/aribornstein/cvworkshop

Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings

My Coursera's Notes

Bu repoda veri artırma (data augmentation) ile ilgili pratik uygulamalara ulaşabilirsiniz.

3-day dive into deep learning at csc

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

Python package for computing the Curie depth from the magnetic anomaly

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

TensorFlow implementation of "DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks"

Posture 👤 Monitor App and Analytics

Code for the paper on t-SNE with variable degree of freedom

Literature and Data - Spring 2016 Data Science Connector Course

Basic tutorial for ESMPy Python package

Simple and flexible progress bar for Jupyter Notebook and console