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A*.py
A*.py
 
 
AdaBoost.py
AdaBoost.py
 
 
BFS.py
BFS.py
 
 
CNN_autoencoder.py
CNN_autoencoder.py
 
 
DFS.py
DFS.py
 
 
Decision tree.py
Decision tree.py
 
 
Divide-and-conquer.py
Divide-and-conquer.py
 
 
GMM.py
GMM.py
 
 
Gibbs sampling.py
Gibbs sampling.py
 
 
Graph alogorithm.py
Graph alogorithm.py
 
 
Huffman coding.py
Huffman coding.py
 
 
ICA.py
ICA.py
 
 
KNN.py
KNN.py
 
 
Kernel PCA.py
Kernel PCA.py
 
 
Kmean.py
Kmean.py
 
 
MDS.py
MDS.py
 
 
NMF.py
NMF.py
 
 
Neural network.py
Neural network.py
 
 
PLSI.py
PLSI.py
 
 
Perceptron.py
Perceptron.py
 
 
README.md
README.md
 
 
Rejection_sampling.py
Rejection_sampling.py
 
 
STFT.py
STFT.py
 
 
Sorting algorithms.py
Sorting algorithms.py
 
 
Stateful_RNN.py
Stateful_RNN.py
 
 
Undirected bipartite graph.py
Undirected bipartite graph.py
 
 
Viterbi.py
Viterbi.py
 
 
transformer_pytorch.py
transformer_pytorch.py
 
 

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Algorithm Implementation

Generative AI

Stateful RNN

WaveNet

Natural Language Processing

Transformer (PyTorch)

Transformer (Tensorflow)

Basic Algorithms

Divdie and conquer

Divdie and conquer

Sorting

Bubble sort

Merge sort

Insertion_sort

Search

Breadth first search

Depth first search

A* search

Graph algorithms

Graph algorithms

Huffman code

Undirected bipartite

Machine learning

Clustering

GMM

KNN

K-mean

Tree and Ensemble

Decision tree

Random forest (Ensemble learning)

AdaBoost

Dimension Reduction

PCA

Kernel PCA

NMF

ICA

MDS

Probabilistic Modeling

PLSI

Deep learning

Perceptron

Neural network

Convolutional autoencoder

Machine leanring in Signal processing

EM

Viterbi(HMM)

Rejection Sampling

Gibbs Sampling

Short-Time Fourier Transform

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