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

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

(OLD REPO) Line-by-line profiling for Python - Current repo ->

Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)

Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Course notes for CS228: Probabilistic Graphical Models.

Zero-Shot Learning with GCN (CVPR 2018)

Image-to-Image Translation in PyTorch

A curated list of awesome computer vision resources

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

An experimental next-generation Electron-based text editor

Image alignment and stitching with MATLAB

An open source smart contract platform

An AI-enhanced cloud-native layer-1 blockchain network. 

Java implementation of the Tron whitepaper

This account is now archived. All DGB development has moved to DigiByte-Core. https://github.com/DigiByte-Core/digibyte

RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using randomized sampling. Includes codes for single core (using GNU G…

This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core

This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.

Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

Verilog to Routing -- Open Source CAD Flow for FPGA Research