- perceptron.ipynb Scikit-Learn's Perceptron, Neural Network, Keras on the IRIS dataset.
- linear-algebra-transpose-differential.ipynb
- backpropagation.ipynb
- tensorflow-weight.py
- linear-regression-tensorflow.py
- mnist.py TensorFlow Implementaion on the MNIST dataset.
- softmax.py Softmax, Cross-Entropy Loss
- sin-graph-prediction.ipynb
- time-series-prediction-rnn.ipynb
- pytorch-grad.py Gradients calculation using PyTorch.
- keras-intermediate-debugging.ipynb Intermediate Layer Debugging in Keras.
- keras-shape-inspect.py Validate Merge, Concatenate methods in Keras.
- cnn-conv1d-internals.py Validate Conv1D on the Text Embeddings.
- cnn-conv2d-internals.py Validate Conv2D on the Image dataset.
- lstm-keras-inspect.py Validate LSTM calculation.
- addition_rnn.py Implements Seq2Seq Learning for Performing Addition.
- addition_seq2seq.py Implements Seq2Seq with Attention for Addition Task.
- attention_dense.py Attention Mechanism
- attention_lstm.py
- keras-attention Visualize Attention
- nnlm.py Implementation of Paper "A Neural Probabilistic Language Model(Bengio et al., 2003)"
- word2vec.py
- vector-representation-of-words.ipynb
- sentimental-analysis-word2vec-keras.ipynb
- imdb-sentimental-analysis-rnn.ipynb
- uci-news.py Multi-Class Classification with CNN on the UCI News dataset.
- lstm-seq2seq.py Basic Character-Level Seq2Seq Model
- elmo.py Sentimental Analysis with ELMo Embeddings.
- allennlp-tutorial.py AllenNLP Tutorial
- cnn-classification.py Text Classification with CNN/TensorBoard
- bert.py Example codes for BERT article.
- news-classification.ipynb Decision Tree, Random Forest, Naive Bayes on the UCI News dataset.
- news-classification-nb.ipynb Trains Naive Bayes Classifiers on the UCI News dataset.
- multinomial-naive-bayes.ipynb Naive Bayes internals.
- titanic.ipynb Decision Tree, Random Forest on the Titanic dataset.
- linear-regression.py
- logistic-regression.ipynb
- dimensionality-reduction.ipynb
- representing-data.ipynb
- model-evaluation.ipynb Decision Regions, Confusion Matrix.
- algorithm-chains-and-pipelines.ipynb
- iris-svm-trees.ipynb SVM, Decision Tree, Random Forest on the IRIS dataset.
- support-vector-machine-explained.ipynb Comparison between SVM and Neural Network
- xgboost.py GridSearchCV with XGBoost
- loss-3d.py 3D Visualization linear graph with loss value.
- gibbs-sampling.ipynb
- gaussian-distribution.ipynb Gaussion Distribution(Normal Distribution)
- ghost-leg-probabilities.ipynb Ghost Leg Probabilities.
- sympy.py Partial Derivatives using Sympy.
- seaborn.py
- hard_sigmoid.py
- poisson.py Poisson Distribution
- odds-ratio.py Odds Ratio 1:3 Relation Graph
- vanishing-gradient.py
- prob-with-permutations.py Probabilities with Duplicate Permutations.
- euclidean-v-cosine.ipynb Euclidean Distance vs. Cosine Similarity