Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
- pytorch
- memory-networks
- generation
- end-to-end-learning
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Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
Python library for working with Music Information Retrieval datasets
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
Automated collection and reporting of citations for used software/methods/datasets
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
Read and write Neuroglancer datasets programmatically.
Python library for handling audio datasets.
Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
Download and attach provenance to public datasets
Make datasets like FFRI Dataset
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance
A tool to combine gtfs datasets into one feed.
Blazingly fast data comparison tool for Python, powered by Rust. Compare massive CSV/Parquet datasets instantly.