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Jason Ge's Projects

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

fastquantile icon fastquantile

Memory Efficient Quantile Approximator for High Speed Data Streams

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

metaflow icon metaflow

Build and manage real-life data science projects with ease.

pequin icon pequin

A system for verifying outsourced computations, and applying SNARKs. Simplified release of the main Pepper codebase.

picasso icon picasso

Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty

prettyprinter icon prettyprinter

Syntax-highlighting, declarative and composable pretty printer for Python 3.5+

pytorch-qrnn icon pytorch-qrnn

PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

scikit-tensor icon scikit-tensor

Python library for multilinear algebra and tensor factorizations

spearmint icon spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

stacklessraytracer icon stacklessraytracer

Implemented stackless KDTree on GPU to accelerate ray tracing rendering algorithm. Hardware level optimizations for register spills local memory overhead are used.

xgboost icon xgboost

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, Flink and DataFlow

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