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Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Created
2019-10-29
32 commits to master branch, last one about a year ago
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including tran...
mlp
coursera
rnn-lstm
andrew-ng
transformers
deep-learning
neural-networks
audio-processing
face-recognition
transfer-learning
question-answering
hyperparameter-tuning
optimization-algorithms
structuring-ml-projects
named-entity-recognition
voice-activity-detection
cnn-for-visual-recognition
image-segmentation-tensorflow
Created
2020-12-07
45 commits to main branch, last one 3 years ago
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
Created
2020-02-22
26 commits to master branch, last one 3 years ago
Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports
Created
2024-05-11
7 commits to main branch, last one 7 months ago
This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convoluti...
Created
2022-03-26
21 commits to main branch, last one 2 years ago
This project is about performing Speaker diarization for Hindi Language.
Created
2020-04-29
59 commits to master branch, last one 4 years ago