Search Results for "design experiments" - Page 2
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Showing 37 open source projects for "design experiments"
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ClassyVision
An end-to-end PyTorch framework for image and video classification
Classy Vision is a PyTorch-based framework designed for large-scale training and deployment of state-of-the-art image and video classification models. Developed by Facebook Research, it serves as an end-to-end system that simplifies the process of training at scale, reducing redundancy and friction in moving from research to production. Unlike traditional computer vision libraries that focus solely on modular components, Classy Vision provides a complete and unified framework, featuring... -
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PARL
A high-performance distributed training framework
PARL is a scalable reinforcement learning framework built on top of PaddlePaddle. It focuses on modularity and ease of use, supporting distributed training and a variety of RL algorithms. -
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MeshCNN in PyTorch
Convolutional Neural Network for 3D meshes in PyTorch
...The project provides training pipelines, dataset preparation tools, and visualization utilities to support experiments with mesh-based neural networks. -
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or... -
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Multi-Agent Emergence Environments
Environment generation code for the paper "Emergent Tool Use"
multi-agent-emergence-environments is an open source research environment framework developed by OpenAI for the study of emergent behaviors in multi-agent systems. It was designed for the experiments described in the paper and blog post “Emergent Tool Use from Multi-Agent Autocurricula”, which investigated how complex cooperative and competitive behaviors can evolve through self-play. The repository provides environment generation code that builds on the mujoco-worldgen package, enabling... -
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Nelder Plot Designer
A Computer-aided Tool for Nelder Plot Design
...This design eliminates the need for separate experimental plots for each tree density. The difficulties with Nelder plot design is their uncommon layout and complex parameterization (Parrott et al. 2012). This computer-aided tool for designing the Nelder plot can be very useful for the practical implementation of this experimental design.\r\n\r\nReferences\r\nNelder JA (1962) New kinds of systematic designs for spacing experiments. -
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D-Tailor
D-Tailor: automated analysis and design of DNA sequences
Recent advances in DNA cloning and synthesis technologies afford high throughput implementation of designed sequences into living cells. However, our ability to design sequences to interrogate multifactorial biological processes and further engineer biological functions is lagging behind. DNA-Tailor (D-Tailor) is a fully extendable software framework for biological sequence analysis and multi-objective sequence design. D-Tailor permits the seamless integration of an arbitrary number of... -
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DC-TTS
TensorFlow Implementation of DC-TTS: yet another text-to-speech model
...It follows the “Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention” paper, but the author adapts and extends the design to make it practical for real experiments. The model is split into two networks: Text2Mel, which maps text to mel-spectrograms, and SSRN (spectrogram super-resolution network), which converts low-resolution mel-spectrograms into high-resolution magnitude spectrograms suitable for waveform synthesis. Training scripts, data loaders, and hyperparameter configurations are provided to reproduce results on several datasets, including LJ Speech for English, a Korean single-speaker dataset, and audiobook data from Nick Offerman and Kate Winslet. -
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The PooDLE IIR Experiment System Framework (PIIRExS) is a web application that enables, organizes, synchronizes and simplifies the design and conduction of task-based experiments for researchers with an interest in interactive user studies.
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PsyBox is a script framework for psychological experiments. Simple scripting is enough to design a experiment, text/image display and input char/text/mouse/response-time input is supported. Python and wxPython is used for base engine.
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InPUT
IoC container for the configuration and design for experimental design
InPUT offers a descriptive and programming language independent format and IoC (Inversion of Control) container for the configuration and design of computer experiments. Code and more info can be found on github: http://github.com/feldob/InPUT -
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Monty compiler
Low level programming language and compiler
Low level programming language and compiler close to python. Intended for experiments with in processor design. Consists of language definition, compiler and simple cpu simulation written in python. The compiler can be adapted to different processors easily.
