Intuitive illustration of the batch and layer normalization techniques in neural networks with PyTorch implementation
This section contains longer and thoroughly elaborated blog posts. The posts cover topics in Machine Learning, Mathematics, Data Science and Visualization.
How I used ChatGPT to generate a tutorial for Python beginners
Estimating your Python code CO2 emissions was never easier using tools like CodeCarbon
Track and visualize Machine Learning experiments using HiPlot Parallel Coordinates Plot in Python
Illustration, implementation and animation of the elementary cellular automata in Python with Matplotlib
Illustrated examples on how and why to use and adopt the BERT-like models
Illustrated examples of the Riemann-Stieltjes Integration in Python with Matplotlib
What are Fractals and How to Make Your Own
Animated Visualization of the Riemann Numerical Integration in Python with Matplotlib
Geometric Brownian Motion in Python with Matplotlib
Simulation and Animation of Brownian Motion with Drift and Volatility in Python with Matplotlib
Animation and visualization of Brownian Motion in Python with Matplotlib
Animation and visualization of random walks with Matplotlib in Python
Hands-on experience with Cytoscape JS
Hands-on experience with D3.js to create a Parallel Coordinates plot
How participation in Hackathons can be beneficial for you.
Demystifying GO Chatbots
GSoC ‘17 has ended. Time for the last submission.
The development of a Deep Learning Module in TMVA
Accepted for the Google Summer of Code ‘17 for CERN-HSF