jm's starred repositories
flask-shell-ptpython
Replace the default flask shell command with a similar one running PTPython.
tv-renamer
Mirror of https://gitlab.com/mmstick/tv-renamer
fontfinder
GTK application for browsing and installing fonts from Google's font archive
ARVideoKit
Capture & record ARKit videos 📹, photos 🌄, Live Photos 🎇, and GIFs 🎆.
VRGIN.Template
Generic project to work with VRGIN.
arxiv-twitterbot
Twitterbot that uses machine learning to curate interesting arXiv papers
InstrinsicReactJSX
example for kontraktor react/jsx SPA without nodejs (java implementation of jsx, npm and bundling)
Technical_Book_DL
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
game-engine-2d
Planimeter Game Engine 2D - LÖVE-based game engine for Lua
Deep-Learning-Tricks
Enumerate diverse machine learning training tricks.
hep-analysis
hep-analysis aims to reproduce the traditional data-analysis workflow in high-energy physics using Python.
pygraphistry
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Charmanteau-CamReady
Code for "CharManteau: Character Embedding Models For Portmanteau Creation. EMNLP 2017. Varun Gangal*, Harsh Jhamtani*, Graham Neubig, Eduard Hovy, Eric Nyberg"
Shakespearizing-Modern-English
Code for "Jhamtani H.*, Gangal V.*, Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017
relational-networks
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
paraphrase-id-tensorflow
Various models and code (Manhattan LSTM, Siamese LSTM + Matching Layer, BiMPM) for the paraphrase identification task, specifically with the Quora Question Pairs dataset.
face_classification
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.