git clone https://github.com/wassermanlab/ExplaiNN.git cd ExplaiNN python setup.py installA normal successful installation should finish in a few minutes.Example of training an ExplaiNN model on TF binding dataBelow is an example of how to train and interpret an ExplaiNN model for predicting...
Common examples of this are NLI models and Cross-Encoders which are commonly used to score two inputs similarity to one another. This explainer calculates pairwise attributions for two passed inputs text1 and text2 using the model and tokenizer given in the constructor. Also, since a common ...
Unsupervised Learning - In this kind of learning the model is trained on raw, unlabeled data, learning patterns and structures without explicit guidance. This is common in large language models (LLMs) like GPT, which predict missing text segments using next-token or masked-token predictions. Self...
So we were instructed to punch our own cards using a "hand punch" machine where you manually held down a "chord" of keys to punch raw binary into the cards. Get just one bit wrong, and you had to toss out the entire card and start again. It would take multiple hours to punch in...
We loaded raw data into a PostgreSQL database and performed all cleaning and analyses in Python using a Jupyter notebook. Table S1 lists the number of runners and runs remaining and removed following application of each criteria described hereafter. First, we removed all runs for which the ...
The MTF reporting types in Table 2 can be separated into two groups: (1) studies using single exponential decay dynamics originally presented by Olson ([70]; categories 1–4) and (2) studies publishing DST persistence over time by presenting raw data or persistence curves based on different ...
Screenshot: BASIC used to be the most popular high-level, interpreted language running on home computers. Today, home geeks are more likely to program in Python. If you're writing code these days, you'll typically use a high-level language like C++, Python, Java, Javascript, React, or ...
xargs -a xss-urls.txt -I@ bash -c 'python3 /dir-to-xsstrike/xsstrike.py -u @ --fuzzer'Dalfox scan to bugbounty targets.[Explained command] wget https://raw.githubusercontent.com/arkadiyt/bounty-targets-data/master/data/domains.txt -nv ; cat domains.txt | anew | httpx -silent -...
The most important explanatory variables were MAT and tree size, with minor contributions of management and plant functional type depending on mortality cause. Our results provide a basis to improve the representation of dead wood decomposition in carbon cycle assessments. Keywords: standing dead wood;...
However, recent data from the South American and African tropics indicate that this sink strength may decline in the future due to increased tree mortality [3,4]. Additionally, in other biomes, dead wood production is projected to increase due to greater intensity and frequency of disturbance ...