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.
Sentiment analysis performed using a pre-trained BERT model on Mac Miller's complete discography.
The course studies fundamentals of distributed machine learning algorithms and the fundamentals of deep learning. We will cover the basics of machine learning and introduce techniques and systems that enable machine learning algorithms to be efficiently parallelized.
An unofficial implementation of "TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest" in Tensorflow
TinyML stuff done on my Arduino Nano 33 BLE Sense
Audio and Music Synthesis with Machine Learning
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.
Transformer/BERT models trained on the Breakthrough Listen Kaggle dataset.
Human Activity Recognition using Deep Learning on Spatio-Temporal Graphs
A Generative Model for Audio in the Frequency Domain
Generate music with LSTM model
Sequence classification and generation using LSTMs and RNNs
Multiple EM for Motif Elicitation for discovering motifs in a group of related DNA or protein sequences.
Tensorflow implementation of Long Short-Term Memory model for audio synthesis used for thesis
Applied Ai (Papers, Articles & Videos, applied in production with results)
An implmentation of the AWD-LSTM in PyTorch
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