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.
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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.
Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark
Based Python static type checker with baseline, sane default settings and based typing features
Python parser and tools for MUSDB18 Music Separation Dataset
Tools for working with GTFS public transit data in ArcGIS
Simulation-based Lidar Super-resolution for Ground Vehicles
A Python package for molecular docking with an extensive, highly-curated dataset and a set of realistic benchmark tasks for drug discovery.
A Python interface to access neuroanatomical atlases
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
AI-based pathology predicts origins for cancers of unknown primary - Nature
zero configuration Python/Unix web based teaching env
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC
Professional BIP-39 Seed & HD Wallet Toolkit with 12–24 word mnemonics, checksum validation, BIP-44/49/84 derivation, and multi-chain support (BTC, ETH, SOL, LTC, DOGE, ADA, DOT, AVAX, ATOM, XRP, TRX). Features offline CSPRNG, PBKDF2-HMAC-SHA512, AES-256-GCM encryption, wallet recovery, CSV/JSON export, and custom derivation paths.
Read and write Neuroglancer datasets programmatically.
Generate graphs and charts based on password cracking result
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
A tool for quantitative risk analysis of Android applications based on machine learning techniques
An application server based on the Pyramid web framework (http://substanced.net)
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
Official implementation of "AReA: Adaptive Receptive-Field Attention for Efficient High-Resolution Diffusion Transformers"
Annotation based documentation for your Ansible roles
Dreamento (DReam ENgenieering TOolbox): a Python-based software for dream engineering while monitoring/analyzing real-time EEG data.
Automated 3D brain registration with support for multiple species and atlases.
GasPot originally released at Blackhat 2015 - Updated for the same stuff 2026