Athenascope Reviews

Scikit-learn Reviews

Athenascope mentions (6)

• is there any software that records stuff like kills or goals automatically

  Athenascope will do this for their supported games. It's reasonably accurate in my experience and it can parse your VoDs from Twitch (so you don't necessarily need the desktop app). Source: over 2 years ago

• Editing and posting content

  If you want automatic clips and you're playing a game like COD, try athenascope.com - they can automatically generate highlights. Source: over 2 years ago

• DaVinci Resolve is surprisingly good.

  I used to use Adobe Premiere to edit my videos. Now, I'm trying Davinci Resolve. I can tell you, that is a good video editing application. I get my highlights videos from Athenascope, convert it to vertical on StreamLadder, and then edit it on Davinci. Source: over 2 years ago

• Learning new tools

  Today I'm focusing on getting familiar with some tools, like Athenascope and Streamladder. They are, in fact, handy tools and work very well. Source: over 2 years ago

• Best extensions for YouTube livestream?

  Https://athenascope.com/ is the website, all you have to do is connect your twitch and you will get an email whenever you’re finished streaming and it’s done making highlights, they only have select games though atm. Source: almost 3 years ago

Scikit-learn mentions (29)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 8 days ago

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 4 months ago

• Link Prediction With node2vec in Physics Collaboration Network

  Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago

• PSA: You don't need fancy stuff to do good work.

  Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago