Stars
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Implementation of the paper "Language-agnostic representation learning of source code from structure and context".
Empirical Software Engineering journal (EMSE) open science and reproducible research initiative
A neural network trained to help writing neural network code using autocomplete
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
Conditional GAN for generating synthetic tabular data.
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
A fast, efficient universal vector embedding utility package.
experiments and snippets used on the blog
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Source code for training Gated Multimodal Units on MM-IMDb dataset
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Live visualization of the training of Keras models
Train/evaluate a Keras model, get metrics streamed to a dashboard in your browser.
Character-level Convolutional Networks for Text Classification
Multi-layer RNN (LSTM, GRU, RNN) for character-level language models in Blocks
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.