Stars
Code to extract all the information from the imessage DB in your mac and then explore the data
Analysis of number of hospitals versus population per county
A highly opinionated framework for building shiny dashboards.
📚 Collaborative cheatsheets for console commands
🦄 State-of-the-Art Conversational AI with Transfer Learning
A Deep Learning based project for colorizing and restoring old images (and video!)
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Public repo containing code to train, visualize, and evaluate semi-supervised topic models and baselines for regression/classification on labeled bag-of-words dataset, as described in Hughes et al.…
An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images.
Style transfer, deep learning, feature transform
Machine management for a container-centric world
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Various ipython notebooks
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A DNS meta-query spider that enumerates DNS records, and subdomains.
Fast subdomains enumeration tool for penetration testers
Setup and customize deep learning environment in seconds.
An R package that makes xgboost models fully interpretable
vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.