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a.w.g.n.

Additive White Gaussian Noise

ai_1_datascience_machinelearning

Artificial Intelligence I: Introduction to Data Science and Machine Learning Lecture (Codes and Documents)

ai_2_deeplearning

bigbang-bigcrunch

Big Bang–Big Crunch algorithm implemented in JAX.

bitkit

Small library for bitwise operations in C++

categoricalmoesafranbolu

Source code for the paper "Probabilistic Clustering of Safranbolu House Typologies using Categorical Linear Layers and Mixture of Experts" (currently under review).

datwep

Source code for the Dynamic Task and Weight Prioritization Curriculum Learning for Multimodal Imagery

deeptimeseriesfromscratch

Deep neural network models implemented from scratch in PyTorch for time series forecasting

grasshopperdeeplearningservices

Deep learning models implemented as web services for integration in Rhino Grasshopper

llm_sft

Supervised fine tuning of large language models

mersennetwisterparallelcpp

Parallel implementation of classic PRNG. Sequal to my MersenneTwisterSerialCpp repo.

mersennetwisterserialcpp

Classic Mersenne twister algorithm for pseudorandom number generator (PRNG)

neuralmicroservices

Deep learning models implemented as web microservices

pytorch_intro

PyTorch introductory tutorial notebooks and codes. Useful for deep learning practitioners.

pytorchcomputervision

PyTorch Notebooks For Pre-trained Computer Vision Models.

shittyclassifier

Low accuracy classification at its best

statisticswithpython

Statistics with Python

transformerfromscratch

PyTorch Implementation of Transformer Deep Learning Model

uncmake

CMake files uninstaller

usefulcodesnippets

Just a notebook for later use