bentrevett/py-algorithms

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Created almost 7 years ago
Updated about 5 years ago

bentrevett/py-algorithms

bentrevett

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Implementation of various algorithms in Python 3.

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Jupyter Notebook

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Jupyter Notebook

pytorch-image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Jupyter Notebook

pytorch-rl

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Jupyter Notebook

pytorch-pos-tagging

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Jupyter Notebook

a-tour-of-pytorch-optimizers

A tour of different optimization algorithms in PyTorch.

Jupyter Notebook

machine-learning-courses

A collection of machine learning courses.

code2vec

A PyTorch implementation of `code2vec: Learning Distributed Representations of Code` (Alon et al., 2018)

pytorch-generative-models

[IN PROGRESS] An introduction to generative adversarial networks (GANs) and variational autoencoders (VAEs) in PyTorch, by implementing a few key architectures.

Jupyter Notebook

pytorch-nli

A tutorial on how to implement models for natural language inference using PyTorch and TorchText. [IN PROGRESS]

Jupyter Notebook

pytorch-language-modeling

Jupyter Notebook

extreme-summarization-of-source-code

Implementation of 'A Convolutional Attention Network for Extreme Summarization of Source Code' in PyTorch using TorchText

pytorch-text-classification

Jupyter Notebook

notes

gradient-descent

Let's learn gradient descent by using linear regression, logistic regression and neural networks!

Jupyter Notebook

pytorch-neural-style-transfer

pytorch-for-code

Using PyTorch to apply machine learning techniques to source code.

pytorch-transfer-learning

pytorch-practice

Jupyter Notebook

bag-of-tricks-for-efficient-text-classification

Implementation of 'Bag of Tricks for Efficient Text Classification' in PyTorch using TorchText

recurrent-attention-model

pytorch-dqn

An implementation of various flavours of deep Q-learning (DQN) in PyTorch.

Jupyter Notebook

paper-notes

n'th attempt at keeping note of papers I have read

lexisearch

Use semantic similarity models to query transcriptions from the Lex Fridman Podcast.

CodeSearchNet

relation-networks

Implementation of the bAbi task from A simple neural network module for relational reasoning in PyTorch using TorchText.

variational-autoencoders

Jupyter Notebook

bentrevett.github.io

My personal website to act as a portfolio

snli

https://nlp.stanford.edu/projects/snli/

go-practice

Glucoduino

Project to read data from glucometers using the Arduino platform

character-aware-neural-language-models

Implementation of 'Character-Aware Neural Language Models' in PyTorch using TorchText

attributed-document-qa

clip-search

Text-to-image search with OpenCLIP, Docker, Flask, Faiss, etc. and a basic front-end.

wordle-terminal

Wordle in the terminal.

art

Markov chain to generate "art"

sorting-algorithms

Implementation of sorting algorithms, with visualizations.

bentrevett

Glucoduino-Classic-Bluetooth-Application

Android application for glucoduino project using standard Bluetooth

keepnote

Google Chrome note taking extension

brainfuck-python

A brainfuck interpreter in Python 3.

numberworld

A toy environment for task-oriented language grounding.

Glucoduino-CSR-Chip

Code for the CSR uEnergy SDK for the glucoduino project