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A Novel Family of Edge Preserving Anisotropic Filters
Python MIT License UpdatedMay 19, 2026 -
advanced_deep_learning Public
Advanced Level Deep Learning
Jupyter Notebook MIT License UpdatedAug 19, 2026 -
advanced_llm_architecture Public
Step-by-step implementation of next-generation LLM components. Deep dive into Quantization, TTT layers, Differentiable Logic, FlashAttention tiling, and context extension, culminating in an end-to-…
Jupyter Notebook MIT License UpdatedMay 24, 2026 -
advanced_machine_learning Public
Advanced Level Machine Learning
sparsity statistical-learning regularization kernel-methods backpropagation gradient-boosting autodiffJupyter Notebook MIT License UpdatedAug 20, 2026 -
Advanced Geometric Image Processing & Partial Differential Equations (PDEs). From foundational heat equations to Finsler, Randers, and Miron metric flows. Features Numba/CUDA hardware acceleration,…
python computer-vision image-processing differential-geometry partial-differential-equations digital-signal-processing pdeJupyter Notebook MIT License UpdatedMay 25, 2026 -
ai_optimization_algorithms Public
AI Optimization Algorithms
Jupyter Notebook MIT License UpdatedSep 13, 2026 -
autonomous_ai_agents Public
Deep dive into enterprise-grade AI Agents & Advanced RAG. Implementing MCP architecture, hierarchical indexing, query transformation, ReAct loops from scratch, and multi-agent state management.
mcp multi-agent multi-agent-systems autonomous-agents ai-agents planning-algorithms long-term-memoryPython MIT License UpdatedMay 24, 2026 -
ayrik_matematik Public
Önermeler mantığı, küme teorisi, kombinatorik, çizge teorisi, sayılar teorisi ve Boole cebirini kapsayan; algoritmik uygulamalar ve teoremlerin hesaplamalı doğrulamasını içeren Jupyter defterleri.
python set-theory discrete-mathematics graph-theory modular-arithmetic combinatorics propositional-logicJupyter Notebook MIT License UpdatedMay 30, 2026 -
bayesian_machine_learning Public
A 6-week research-grade course in Bayesian Machine Learning & Deep Learning. Covers conjugate families, Laplace approximations, from-scratch MCMC (HMC/NUTS), Variational Inference (ELBO, Normalizin…
python probabilistic-programming mcmc uncertainty-quantification gaussian-processes variational-inference hmcJupyter Notebook MIT License UpdatedMay 28, 2026 -
bilgisayarli_goru Public
Sıfırdan inşa edilen 6 haftalık bilgisayarlı görü kursu. Evrişim, Gauss filtreleri, Canny kenar dedektörü, Harris köşeleri, optik akış ve geri yayılımı elle yazılmış bir CNN'e kadar her algoritma a…
computer-vision deep-learning image-processing neural-networks segmentation edge-detection convolutional-neural-networksJupyter Notebook MIT License UpdatedMay 28, 2026 -
calculus_for_ai Public
The calculus underpinning modern machine learning, built from scratch in pure NumPy. 8-week masterclass: ε–δ limits, complex-step differentiation, forward- & reverse-mode autodiff (backprop) from s…
machine-learning deep-learning calculus automatic-differentiation dual-numbers gradient-descent hessianJupyter Notebook MIT License UpdatedMay 30, 2026 -
causal_inference_for_ai Public
A research-grade, 6-week masterclass in Causal Inference and Causal ML from first principles. Rebuilds d-separation oracles, propensity score IRLS engines, doubly-robust AIPW estimators, Cross-Fitt…
Jupyter Notebook MIT License UpdatedMay 30, 2026 -
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computer_vision Public
A research-grade masterclass rebuilding the entire Computer Vision stack from first principles. No OpenCV, no PyTorch—just pure math and NumPy. Implements custom convolutions, Canny edge detection,…
Jupyter Notebook MIT License UpdatedMay 27, 2026 -
data_mining Public
A structured hands-on curriculum in Data Mining and Machine Learning. Covers fundamental to advanced classification (KNN, Naive Bayes, ANN, SVM, Bayesian Networks, Ensembles), handling imbalanced d…
Jupyter Notebook MIT License UpdatedMay 27, 2026 -
data_vis_for_ai_research Public
A 6-week hands-on masterclass in Data Visualization, MLOps Tracking, and Explainable AI (XAI). Master high-dimensional embeddings (UMAP), model diagnostics, live metrics (MLflow, W&B), and feature …
grad-cam data-visualization high-dimensional-data artificial-intelligence scientific-visualization performance-visualization umapJupyter Notebook MIT License UpdatedMay 27, 2026 -
decision_theory Public
Best Decision Theory Course for AI Learners
Jupyter Notebook MIT License UpdatedSep 29, 2026 -
deep_learning Public
Everything about deep learning
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derin_ogrenme Public
Derin öğrenme ile ilgili herşey.
deep-neural-networks reinforcement-learning deep-learning transformers supervised-learning convolutional-neural-networks backpropagationJupyter Notebook MIT License UpdatedMay 19, 2026 -
diferansiyel_denklemler Public
Adi ve Kısmi diferansiyel denklem'lerin klasik teoriden modern bilimsel makine öğrenmesine 8 haftalık ustalık kursu.: her algoritma sıfırdan türetilir, analitik çözümlere karşı doğrulanır.
python scientific-computing partial-differential-equations differential-equations ordinary-differential-equations numerical-methods neural-odeJupyter Notebook MIT License UpdatedMay 30, 2026 -
differential_equations Public
A research-grade, 8-week masterclass in Ordinary and Partial Differential Equations — from first principles to modern ML applications.
scientific-computing partial-differential-equations differential-equations laplace-transform laplace-equation fourier-transform second-order-differential-equationsJupyter Notebook MIT License UpdatedMay 29, 2026 -
Differential equations for modern ML, from first principles — Neural ODEs, PINNs, diffusion models, optimal control & neural operators. 8 weeks, NumPy + JAX, fully executed notebooks.
scientific-computing differential-equations numerical-methods optimal-control runge-kutta generative-models sdesJupyter Notebook MIT License UpdatedMay 29, 2026 -
discrete_mathematics Public
Jupyter notebooks on propositional logic, set theory, combinatorics, graph theory, number theory and Boolean algebra, featuring algorithmic implementations and computational verification of theorems.
python set-theory discrete-mathematics graph-theory modular-arithmetic combinatorics propositional-logicJupyter Notebook MIT License UpdatedMay 30, 2026 -
distributed_systems_for_ml Public
A 6-week masterclass in Distributed Deep Learning Infrastructure from scratch. Covers the $\alpha-\beta$ communication model, custom Ring All-Reduce primitives, Parameter Servers (Hogwild!), 1F1B P…
python distributed-systems high-performance-computing parameter-server distributed-training pipeline-parallelism fsdpJupyter Notebook MIT License UpdatedMay 28, 2026 -
A comprehensive, hands-on guide to the fundamentals and advanced concepts of Generative Artificial Intelligence (GAI). This repository contains a curated series of Jupyter Notebooks bridging the ga…
deep-learning transformers pytorch artficial-intelligence generative-adversarial-networks decision-theory variational-autoencoderJupyter Notebook MIT License UpdatedMay 27, 2026 -
geometric_deep_learning Public
A 6-week technical masterclass in Geometric Deep Learning. Master manifolds, equivariance, symmetry groups, Graph Neural Networks (GNN, GCN, GAT), and 3D point clouds (PointNet) alongside Riemannia…
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graph_neural_networks Public
Advanced Graph Neural Networks & Spectral Graph Theory from scratch. Covers the graph Laplacian, Chebyshev filters, raw GCN/GAT/GIN implementations, WL-test expressiveness, over-smoothing (Dirichle…
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high_performance_computing Public
A high-level course on High-Performance Computing (HPC) and the systems engineering required to train, fine-tune, and serve Large Language Models (LLMs) efficiently.
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