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XG Boost initially started as a research project by Tianqi Chen [12] as part of the Distributed (Deep) Machine Learning Community (DMLC) group. Initially, it began as a terminal application which could be configured using a libsvm configuration file.
The below code demonstrates the jit function's optimization through fusion. # imports from jax import jit import jax.numpy as jnp # define the cube function def cube ( x ): return x * x * x # generate data x = jnp . ones (( 10000 , 10000 )) # create the jit version of the cube function jit_cube = jit ( cube ) # apply the cube and jit_cube ...
OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms. PMLB: [494] A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms ...
The Owl project is research oriented, and supports research of numerical computing in multiple related topics. Some of its research topics are listed below. Synchronous parallel distributed machine learning design. Owl is the first to propose using sampling to synchronise nodes in iterative algorithms.
Torch is an open-source machine learning library, a scientific computing framework, and a scripting language based on Lua. [3] It provides LuaJIT interfaces to deep learning algorithms implemented in C. It was created by the Idiap Research Institute at EPFL. Torch development moved in 2017 to PyTorch, a port of the library to Python. [4] [5] [6]
Standard ML is a modern dialect of ML, the language used in the Logic for Computable Functions (LCF) theorem-proving project. It is distinctive among widely used languages in that it has a formal specification , given as typing rules and operational semantics in The Definition of Standard ML .
The models and the code were released under Apache 2.0 license on GitHub. [4] An individual Inception module. On the left is a standard module, and on the right is a dimension-reduced module. A single Inception dimension-reduced module. The Inception v1 architecture is a deep CNN composed of 22 layers. Most of these layers were "Inception modules".
Leela Zero is a free and open-source computer Go program released on 25 October 2017. It is developed by Belgian programmer Gian-Carlo Pascutto, [1] [2] [3] the author of chess engine Sjeng and Go engine Leela.