100 Days of ML Coding
A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc
Deep universal probabilistic programming with Python and PyTorch
Open Source, Distributed, RESTful Search Engine
Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.
An open autonomous driving platform
Column oriented distributed data store ideal for powering interactive applications
Openpose from CMU implemented using Tensorflow with Custom Architecture for fast inference.
scikit-learn: machine learning in Python
The fast.ai deep learning library, lessons, and tutorials
G2 (The Grammar of Graphics)
The ultimate goal of AutoML is to allow domain experts with limited data science or machine learning background easily accessible to deep learning models.
SystemML is a flexible, scalable machine learning system
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Data Version Control - Git for data scientists
The Shogun Machine Learning Toolbox (Source Code)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A library for generalized sequence to sequence models
Python Data. Leaflet.js Maps.
A Python code collection of robotics algorithms, especially for autonomous navigation.
Differentiable architecture search for convolutional and recurrent networks
The AI can paint on a sketch accroding to a given specific color style.
A machine learning package built for humans.
A lightweight, modular, and scalable deep learning framework.
A realtime distributed OLAP datastore
Distributed training framework for TensorFlow.
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.
Pytorch C++ Library