
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
DocFetcher
Everything by Voidtools
Agent Ransack
Recoll
SearchMyFiles
Keypirinha
Listary
Searchmonkey
Scikit-learn
DocFetcherDocFetcher is recommended for users who require an efficient tool to manage and search through diverse file types, such as documents, PDFs, and archives. It is particularly useful for researchers, students, and professionals who deal with large volumes of data and need to quickly locate specific information.
I love DocFetcher! I discovered this gem of a program when Windows stopped supporting string searches in word processors other than Word.
Based on our record, Scikit-learn should be more popular than DocFetcher. It has been mentiond 40 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 2 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 5 months ago
I use https://docfetcher.sourceforge.net/en/index.html to index and search large repos of docs. I use Papermerge for my digital file cabinet though. DocFetcher is good for searching an existing repository of files. Source: over 3 years ago
As they state, it is crap-free, free forever, cross-platform, portable, private (local only), and indexes only what you need. You can also set minimum and maximum file sizes to index. See https://docfetcher.sourceforge.net/en/index.html. Source: over 3 years ago
What I'd recommend is setting up a digital and/or physical technical library. Download any useful documents, books, standards etc. and store them in a clear, concise folder structure. Then create an index of the library with a tool like DocFetcher. (Think of it as Google for your technical library) This should make it fast and easy to find the relevant information when you need it. Source: over 3 years ago
DocFetcher? https://docfetcher.sourceforge.net/en/index.html. Source: over 3 years ago
I use Outlook for e-mail and calendars. I use Evernote to store my notes. I also have a folder in Dropbox called "docs" where I store TXT (and others like DOCX and PDF etc) files for tasks/projects like the cisco firmware update example. I use DocFetcher (https://docfetcher.sourceforge.net/en/index.html) to perform search on the stored notes in TXT / DOCX / PDF / etc. Source: over 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Everything by Voidtools - Everything. Locate files and folders by name instantly. Everything. Small installation file. Clean and simple user interface.
NumPy - NumPy is the fundamental package for scientific computing with Python
Agent Ransack - Agent Ransack is a tool for finding files and information on your hard drive fast and efficiently.
OpenCV - OpenCV is the world's biggest computer vision library
Recoll - Recoll is a desktop full-text search tool. Recoll finds keywords inside documents as well as file names.