A small repo that we want to give some value to the community about implementing artificial intelligence algorithms, as well as training our ability to code and understand algorithms better.
Title | Source | Category/ Tag | Description |
---|---|---|---|
Linear Regression | LinearRegression | Machine Learning | |
Logistic Regresssion | Logistic Regresssion | Machine Learning | |
K Means Clustering | K Mean Clustering | Machine Learning | |
K Near Neighbor | K Near Neighbor | Machine Learning | |
Decision Trees | Decision Trees | Machine Learning | |
Naive Bayes | Naive Bayes | ||
PCA | PCA | Machine Learning, Dimension Reduce | |
SVM | SVM | Machine Learning, Dimension Reduce |
Title | Source | Category/ Tag | Description |
---|---|---|---|
LeNet | LeNet | Image Classification, CNN architechture | |
AlexNet | AlexNet | Image Classification, CNN architechture | |
VGG | VGG | Image Classification, CNN architechture | |
ResNet | ResNet | Image Classification, CNN architechture | |
MobileNet | MobileNet | Image Classification, CNN architechture | |
Effecient Net | Effecient Net | Image Classification, CNN architechture | |
Vision in Transformer | ViT | Image Classification, CNN architechture | |
SORT | SORT | Object Tracking | |
SORTwithYolov8 | SORTwithYolov8 | Object Tracking |
Title | Source | Category/ Tag | Description |
---|---|---|---|
Dense Vectors | Dense Vectors | NLP | --- |
Words2Vec | Words2Vec | NLP | |
DeepRecurrentNeuralNetworks | DRNN | NLP | --- |
GRU | GRU | NLP | --- |
LSTM | LSTM | NLP | --- |
Title | Source | Category/ Tag | Description |
---|---|---|---|
GAN | GAN | GM | --- |
DCGAN | DCGAN | GM | --- |
Diffusion | Diffusion | GM | --- |
Title | Source | Category/ Tag | Description |
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Title | Source | Category/ Tag | Description |
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Tensor Basic | TensorBasics | ||
Full Neural Network | FNN | ||
CNN | CNN | ||
LSTM | LSTM | ||
Load and Save Model | LoadSave | ||
Bidirectional | Bidirectional | ||
CustomImageDataset | CustomImageDataset |
Title | Source | Category/ Tag | Description |
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