Symbolic Computation · Computer Science
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi +109
2016-05-10
Machine Learning · Computer Science
Comparative Study of Deep Learning Software Frameworks
Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah
2016-03-31
Distributed, Parallel, and Cluster Computing · Computer Science
Synkhronos: a Multi-GPU Theano Extension for Data Parallelism
Adam Stooke, Pieter Abbeel
2017-10-13
Distributed, Parallel, and Cluster Computing · Computer Science
Tango: A Deep Neural Network Benchmark Suite for Various Accelerators
Aajna Karki, Chethan Palangotu Keshava, Spoorthi Mysore Shivakumar, Joshua Skow +2
2019-01-16
Machine Learning · Computer Science
Blocks and Fuel: Frameworks for deep learning
Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk +3
2015-06-02
Machine Learning · Computer Science
tn4ml: Tensor Network Training and Customization for Machine Learning
Ema Puljak, Sergio Sanchez-Ramirez, Sergi Masot-Llima, Jofre Vallès-Muns +2
2025-02-19
Mathematical Software · Computer Science
Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing
Hartwig Anzt, Terry Cojean, Goran Flegar, Fritz Göbel +5
2020-07-02
Hardware Architecture · Computer Science
SpeedLLM: An FPGA Co-design of Large Language Model Inference Accelerator
Peipei Wang, Wu Guan, Liping Liang, Zhijun Wang +2
2025-07-22
Machine Learning · Computer Science
ALANNO: An Active Learning Annotation System for Mortals
Josip Jukić, Fran Jelenić, Miroslav Bićanić, Jan Šnajder
2023-02-22
Computation and Language · Computer Science
NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
Ozan Caglayan, Mercedes García-Martínez, Adrien Bardet, Walid Aransa +2
2018-11-20
Distributed, Parallel, and Cluster Computing · Computer Science
Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform
Shiwei Zhang, Lansong Diao, Siyu Wang, Zongyan Cao +6
2023-02-17
Quantitative Methods · Quantitative Biology
Conan: a platform for complex network analysis
Ricardo Honorato-Zimmer, Bryan Reynaert, Ignacio Vergara, Tomas Perez-Acle
2010-12-02
Machine Learning · Computer Science
Limbo: A Fast and Flexible Library for Bayesian Optimization
Antoine Cully, Konstantinos Chatzilygeroudis, Federico Allocati, Jean-Baptiste Mouret
2016-11-23
Hardware Architecture · Computer Science
GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks
Jacob R. Stevens, Dipankar Das, Sasikanth Avancha, Bharat Kaul +1
2021-03-22
Machine Learning · Computer Science
Learning to Optimize Tensor Programs
Tianqi Chen, Lianmin Zheng, Eddie Yan, Ziheng Jiang +4
2019-01-10
Hardware Architecture · Computer Science
TENET: An Efficient Sparsity-Aware LUT-Centric Architecture for Ternary LLM Inference On Edge
Zhirui Huang, Rui Ma, Shijie Cao, Ran Shu +4
2025-09-18
Machine Learning · Computer Science
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization
Daniele Jahier Pagliari, Matteo Risso, Beatrice Alessandra Motetti, Alessio Burrello
2023-07-20
Computational Engineering, Finance, and Science · Computer Science
PyTOaCNN: Topology optimization using an adaptive convolutional neural network in Python
Khaish Singh Chadha, Prabhat Kumar
2024-04-19
Human-Computer Interaction · Computer Science
MEGAnno: Exploratory Labeling for NLP in Computational Notebooks
Dan Zhang, Hannah Kim, Rafael Li Chen, Eser Kandogan +1
2023-01-10