Pinned Repositories
bnn-post-hoc
Code and experiments for the preprint: "Bayesian Neural Network Versus Ex-Post Calibration For Capturing Prediction Uncertainty".
cornell-birdcall-identification
Kaggle competition on birdcall classification.
generative-pixel-art
Experiments with generative art and cellular automata.
my-deep-learnings
🧙♂️ Repository to keep track of my exploration, experiments and errors (!) in machine and deep learning.
network-analysis-d3
Network analysis of trading data using d3.js
pose-estimation-detection
Implementation of openpose with tensorflow & openCV for estimation of human poses & classification.
pytorch-template
A standard template for any PyTorch project 🔥
rag
⛏️ RAG Pipeline & Evaluation
satyaborg.github.io
Personal blog.
self-organizing
Experiments and code for our paper Self-organizing neural network hierarchy.
satyaborg's Repositories
satyaborg/pose-estimation-detection
Implementation of openpose with tensorflow & openCV for estimation of human poses & classification.
satyaborg/pytorch-template
A standard template for any PyTorch project 🔥
satyaborg/cornell-birdcall-identification
Kaggle competition on birdcall classification.
satyaborg/generative-pixel-art
Experiments with generative art and cellular automata.
satyaborg/my-deep-learnings
🧙♂️ Repository to keep track of my exploration, experiments and errors (!) in machine and deep learning.
satyaborg/rag
⛏️ RAG Pipeline & Evaluation
satyaborg/satyaborg.github.io
Personal blog.
satyaborg/self-organizing
Experiments and code for our paper Self-organizing neural network hierarchy.
satyaborg/academic
satyaborg/bnn-post-hoc
Code and experiments for the preprint: "Bayesian Neural Network Versus Ex-Post Calibration For Capturing Prediction Uncertainty".
satyaborg/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
satyaborg/BDA_py_demos
Bayesian Data Analysis demos for Python
satyaborg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
satyaborg/core-utils
Reusable, general purpose code.
satyaborg/custom-image-classifier
A custom image classifier based on the fast.ai library. The code can be used as a template to train a CNN with resnet34 architecture (other variants as well) on any custom dataset. Credits to fastai.
satyaborg/dsp
📡 Notes + Code from studying Digital Signal Processing
satyaborg/fastbook
Draft of the fastai book
satyaborg/gen-art
Generative Art.
satyaborg/info-theory
💬 Notes + Code from studying Information Theory
satyaborg/instrument-classifier
Deep learning based instrument classifier on OpenMIC-2018 dataset.
satyaborg/naisys-2020
Notes and ideas from NAISys 2020
satyaborg/neural-architects
Repository for the Neuromatch project by NeuralArchitects.
satyaborg/neural-hallucinations
Repository for experiments with AI x art
satyaborg/neurosci-ai
All things related to neuroscience + AI
satyaborg/odyssy
🌌 Creating worlds—one keystroke at a time.
satyaborg/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
satyaborg/satyaborg
satyaborg/stable-diffusion
satyaborg/stat-rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
satyaborg/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.