TimeSeriesLearning

Deep learning library in plain Numpy.

CS F425 Deep Learning course at BITS Pilani (Goa Campus)

Toy implementations of some popular ML optimizers using Python/JAX

A compressed adaptive optimizer for training large-scale deep learning models using PyTorch

Modified XGBoost implementation from scratch with Numpy using Adam and RSMProp optimizers.

Learning about Haskell with Variational Autoencoders

Tennis Game play using Multi Agent DDPG - Deep Reinforcement Learning

Here in this system it discloses a log analysis method based on deep learning for an intrusion detection system, which includes the following steps: preprocess the acquired logs of different types in the target system; perform log analysis on the preprocessed logs using a clustering-based method; then, encode the parsed log events into digital feature vectors, use LSTM-based neural network and log collect-based clustering methods to learn the encoded logs to form warning information.

Keras implementation of arXiv 1806.04854

A deep residual auto-encoding approach to colorize images.