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Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Scikit-Longitudinal (Sklong) your tailored (health) Longitudinal machine learning library built on top of Scikit-Learn
☂️ Auto-Scikit-Longitudinal (Auto-Sklong) is an automated machine learning (AutoML) library designed to analyse longitudinal data (Classification tasks focussed as of today) using various search me…
This framework evaluates the security of website fingerprinting defenses. It is the implementation used for the paper "DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses".
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Kyanos is a networking analysis tool using eBPF. It can visualize the time packets spend in the kernel, capture requests/responses, makes troubleshooting more efficient.
Reimplementation of the WeFDE information leakage analysis technique for website fingerprinting analysis in Python3.
Python package to access the Tranco list
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
A modular and blazing fast runtime security tool for the IoT, powered by eBPF.
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.
(Still exploring) My cryptography journey: A collection of notebooks covering different algorithms and concepts from cryptography
Free tier of Heroku Dynos, Postgres and Data for Redis will no longer be available after November 28, 2022. Let's find a list of services with a free plan that developers can use as an alternative …
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 2…
🦀 Small exercises to get you used to reading and writing Rust code!
A curated list of awesome open source healthcare tools, algorithms, datasets and research papers.
Notebooks about Bayesian methods for machine learning
User-friendly secure computation engine based on secure multi-party computation
Extremely fast Query Engine for DataFrames, written in Rust
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and l…
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
📚 Learn to write an embedded OS in Rust 🦀