From-scratch impls of AI models, approaches, tricks, and more!
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt- Activation Functions and Their Derivative Functions from Scratch Using Pytorch
- Functions
- Gradient Descent
- Deep Learning
- Machine Learning Models from Scratch Using NumPy
- Representation
- Sigmoid
- ReLU
- Leaky ReLU
- GELU
- Swish
- SERF
- Tanh
- Image Classification: CNN for MNIST (+Deep Learning Project Setup)
- Image Classification: VGG Model from Scratch
- Recommender Systems: Generalized Matrix Factorization from Scratch
- Distance Functions
- Convolution
- Discussing Batch, Stochastic, and Mini-Batch Gradient Descent
- Gaussian Naive Bayes
- K-Nearest Neighbors (k-NN)
- Linear Regression
- Logistic Regression
- k-Means Clustering
- Principal Component Analysis (PCA) from Scratch
- TF-IDF from Scratch