Caption Images with Machine Learning
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Updated
Jun 23, 2022 - Python
Caption Images with Machine Learning
Computer vision tools for analyzing behavioral data, including complex event detection in videos.
A TensorFlow implementation of "Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory" (published in CIKM2017).
Implementation of Smith-Waterman local alignment model- find closest local alignments in two given amino acid sequences. BLOSUM was used as the scoring matrix.
A Generative Model for Audio in the Frequency Domain
VOGUE: Variable Order HMM with Duration
An unofficial implementation of "TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest" in Tensorflow
Generate music with LSTM model
Multiple EM for Motif Elicitation for discovering motifs in a group of related DNA or protein sequences.
Audio and Music Synthesis with Machine Learning
Tensorflow implementation of Long Short-Term Memory model for audio synthesis used for thesis
Python package for Arabic natural language processing
Source code for "A Lightweight Recurrent Network for Sequence Modeling"
Sequential model for polyphonic music
Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)
Implementation of GateLoop Transformer in Pytorch and Jax
PyxLSTM is a Python library that provides an efficient and extensible implementation of the Extended Long Short-Term Memory (xLSTM) architecture. xLSTM enhances the traditional LSTM by introducing exponential gating, memory mixing, and a matrix memory structure, enabling improved performance and scalability for sequence modeling tasks.
Liquid Structural State-Space Models
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
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