Intel Low Precision Optimization Tool, targeting to provide a unified low precision inference interface cross different deep learning frameworks, and support auto-tune with specified accuracy criterion to find out best quantized m
A benchmark dataset to facilitate augmentation-independent robustness analysis of point cloud classification models. RobustPointSet comes with 6 different transformations: Noise, Translation, Missing part, Sparse, Rotation, and Oc
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
The stream-learn module is a set of tools necessary for processing data streams using scikit-learn estimators. The batch processing approach is used here, where the dataset is passed to the classifier in smaller, consecutive subse
This post is summarizing the data structure and algorithm fundamentals you might need in a coding interview and the corresponding implementations in different languages (Currently Python, Java, and C++).
The Postgres Operator delivers an easy to run highly-available PostgreSQL clusters on Kubernetes (K8s) powered by Patroni. It is configured only through Postgres manifests (CRDs) to ease integration into automated CI/CD pipelines
ZLUDA is a drop-in replacament for CUDA on Intel GPU. ZLUDA allows to run unmodified CUDA applications using Intel GPUs with near-native performance (more below). It works with current integrated Intel UHD GPUs and will work with
Egocentric Communications (EgoCom) is a first-of-its-kind natural conversations dataset containing multi-modal human communication data captured simultaneously from the participants' egocentric perspectives.
Algbraic effects are all side-effects of a piece of code, like reading a user input, writing a text on the screen, doing network requests, reading a file etc. Eff allows to easily handle such effects making the code cleaner and te
Matrix product state (MPS) method is a series of powerful algorithms developed to solve a class of Hamiltonians with local interactions, based on the ansatz of “low entanglement”, or “area-law entanglement” precisely.
Klisp is a very minimal LISP written in about 200 lines of InK. It's primarily a pedagogical project -- I made it to understand Lisp better. (That's another way of saying: don't use it for serious things.) Ink's semantics are alre
TunnelPy simply exposes any service, running internally in a network/host, to the outside, by creating a tunnel between a client on the outside, and any internal host in a network, by pivoting from/to a 'middle-man' host that is a