Stars
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…
cross terminal history for zsh with good search (that learns with vowpal wabbit)
Superfast betabinomial fit implemented in Cython
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
Dr. Elephant is a job and flow-level performance monitoring and tuning tool for Apache Hadoop and Apache Spark
This repository contains the development code for sparkMeasure, an Apache Spark performance analysis and troubleshooting library. It simplifies collecting, aggregating, and exporting Spark task/sta…
The super light testing library for Scala and Scala.js
Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
Restricted Boltzmann Machines in Python.
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
Render probabilistic graphical models using matplotlib
TensorFlow Image Classifier Demo by @Sirajology on Youtube
An uroboros program with 100+ programming languages
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
😎 Awesome lists about all kinds of interesting topics
Efficient implementation of Generative Stochastic Networks
YutingZhang / caffe
Forked from BVLC/caffeCaffe: a fast open framework for deep learning.
A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts