Hidden Number Problem
HNP & EHNP
Posts by Year
2025
LO & CJLOSS
Knapsack Problem
Coppersmith’s Method
Finding Small Roots
Application of Lattice Reduction
Application of Lattice Reduction
Kannan’s Embedding
Kannan’s Embedding for Solving CVP
Babai’s Algorithm
Babai’s Nearest plane Algorithm for Solving CVP
LLL Algorithm
Lattice Reduction
Lattice and SVP, CVP
Lattice and Lattice Problems
[Forensic] Registry
Registry
[Forensic] File System
File System
Satisfiability Problem
Satisfiability Problem
Elliptic Curve
Elliptic Curve
Euler Tour Technique
Euler Tour Technique & Heavy Light Decomposition
Segment Tree
Segment Tree, Merge Sort Tree, Persistant Segment Tree, Lazy Propagation Segment Tree
Maximum Flow & Max-flow Min-cut
Maximum Flow & Max-flow Min-cut Theorem
Point in polygon
Point In Polygon test using ccw
Dijkstra
shortest path algorithm
Traveling Salesman Problem
Traveling Salesman Problem using DP and Bitmask
[CS224W] 1.Graphs
CS224W Lecture Note
Latent Dynamics
Paper: Learning Latent Dynamics for Planning from Pixels
Kalman Filiter & Hugarian Algorithm
Object Tracking
2024
Dr.Raum
Brain Tumor Segmentation using U-Net Transformer
YOLOv9 Paper
YOLOv9 Paper
Military Aircraft Detection with YOLOv8
YOLOv8 Project
ServalShell
NL to Bash AI project
DDPM
stable diffusion
YOLOv4 from scratch
YOLOv4 from scratch
SCYLLA IoU
SIoU BBox Loss
HopSkipJumpAttack
HopSkipJumpAttack Paper Review
U-net Paper
U-net Paper
Backdoor Attack
Backdoor Attack paper review
Shadow Attack
Shadow Attack paper review
2023
[Statistics] Entropy, Cross Entropy & KL divergence
Information Theory
[Statistics] Monte Carlo method
Law of Large Numbers & Monte Carlo method
[Statistics] Bayesian II
Bayesian statistic
[Statistics] Bayesian I
Bayesian statistic
[Statistics] Regression IV
Regression
[Statistics] Regression III
Regression
[Statistics] Regression II
Regression
[Statistics] Regression I
Regression
[Statistics] PCA(Principal Component Analysis)
Basic Linear Algebra, Principal Component Analysis
[Statistics] Statistical Analysis
ANOVA, Cross Tabulation, Correlation Analysis
[Statistics] Hypothesis Testing II
statistical hypothesis test
[Statistics] Hypothesis Testing I
statistical hypothesis test
[Statistics] Statistical Estimation
Statistical Estimation
[Statistics] t, chi-squared, F distribution
t, chi-squared, F distribution
[Statistics] CLT & DoF
Central Limit Theorem & Degrees of Freedom
[CS231n] 13.Attention
CS231n Lecture Note
[CS231n] 12.Segmentation
CS231n Lecture Note
[CS231n] 11.CNNs in practice
CS231n Lecture Note
[CS231n] 10.RNN, LSTM
CS231n Lecture Note
[CS231n] 9.Visualizations, Adversarial examples
CS231n Lecture Note
[CS231n] 8.Localization, Detection
CS231n Lecture Note
[CS231n] 7.CNN Architectures
CS231n Lecture Note
[CS231n] 6.CNN
CS231n Lecture Note
[CS231n] 5.Training Neural Networks2
CS231n Lecture Note
[CS231n] 4.Training Neural Networks
CS231n Lecture Note
[CS231n] 3.Back Propagation
CS231n Lecture Note
[CS231n] 2.Loss Functions and Optimization
CS231n Lecture Note
[CS231n] 1.Image Classification
CS231n Lecture Note