Deep Learning Drizzle
Drench yourself in Machine Learning by learning from these exciting lectures.
Learning to Drive Smoothly in Minutes
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
The HMM filter package
Improve classifier predictions for sequential data with Hidden Markov Models (HMMs)
A compiler and runtime for machine learning models. The compiler optimizes machine learning models for various target hardware. The runtime executes the model on the target hardware.
Bottom-up Object Detection by Grouping Extreme and Center Points
ENet – Real Time Semantic Segmentation
A Neural Net Architecture for real time Semantic Segmentation
Character Based CNN
Implementation of character based convolutional neural network
PyTorch Implementation of “Large-Scale Image Retrieval with Attentive Deep Local Features”
A Python module for parallel optimization of expensive black-box functions
golang library for computing matrix profiles along with other time series analysis features
A GPU-powered real-time analytics storage and query engine.