This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI
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Updated
Jun 1, 2024 - Jupyter Notebook
This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
Generating Sequences of Play In Rugby Union Using Recurrent Neural Networks - Statistical Science honours project at the University of Cape Town.
Generation of Simpsons tv scripts using Recurrent neural networks using Tensorflow.
Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…
Implementation of a modular, high-performance, and simplistic mamba for high-speed applications
Implementation of a Hierarchical Mamba as described in the paper: "Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling"
Polarity prediction of tweets in Mexican Spanish using RNNs and word embeddings in PyTorch
AI@UCF's custom-made course, organized by semesters
DeepLearning.AI TensorFlow Developer Professional Certificate.
[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks..
Speech recognition project on Keyword Spotting (KWS) using Recurrent Neural Networks (RNNs)
embeddings language models
Predicting missing metadata with recurrent neural network (RNNs) based entity extraction
The repository contains the codes for the generation of enhancer sequences using RNN and embedding concepts.
In this repository, we intend to implement a Recurrent Neural Network that used to generate text using our train data which is the “HARRY POTTER AND THE GOBLET OF FIRE “
pretrained transformer and embeddings language models
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