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aru-net

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bert

TensorFlow code and pre-trained models for BERT

buzzbeeper

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

dota_devkit

Added additional useful functionality to original repository. Changes enable getting more statistical insights about the DOTA dataset and simplifies partial usage for selected categories.

handwrittendigitclassification

MATLAB code written for Coursera Machine Learning assignment

input_pipe_building_augmentation

Preparing image inputs for Convolutional Neural Networks. File loading and augmentation best practices.

machinelearningexercises

MATLAB code written for Coursera Machine Learning Course

ml_scripts

mlalgorithms

ML and statistic algorithms, implementation, results and visualization

mnist_tensorflow

Handwritten Digit Classification using MNIST

nlp_projects

NLP tasks, text classification, text similarity calculation, training LSTM with embedding layer, text generation using Keras and LSTM, BOW models, n-gram models, text preprocessing using NLTK and Keras

pyqt5_gui_template

python_algorithms

pythonoptimizedalgorithms

Unique problems and their solutions (using both brute-force and elegant ways) with added insights and supporting setup. Also included very very large test-cases to visualize the magic happening with reduced time and space complexities.

resume

Latex Resume

tensorflow-resnet

ResNet model in TensorFlow

timeseries_forecast_project

Regression models mapping m inputs to n outputs. I have tried to make this code as configurable as possible by using .yaml configurations. Please read the config comments and set appropriate config variables to successfully run the application. Also, documentation is generated using Sphinx 1.8.0 and can be read at 'docs_build\html\index.html' in the parent directory

torching_it_up

trainingusingcifar-10

Playing with RGB Data from CIFAR-10

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

venturingintopyregion

Self-learning initiative to understand Python concepts (OOP, py libraries, tensorflow-introduction