I am writing this guide as to save my progress and let others contribute to increase the performance even further, after all many are better than one. You can use all of them or just a few of them. Read a topic full before startin
When creating your rules for YARA keep in mind the following guidelines in order to get the best performance from them. This guide is based on ideas and recommendations by Victor M
This is where I learn machine learning🤷 This means that this repo covers no specific topic of machine learning or a project - I work in here when I want to learn/try something
River is a Python library for online machine learning. It is the result of a merger between creme and scikit-multiflow. River's ambition is to be the go-to library for doing machine learning on streaming data.
The GitHub Stars program thanks GitHub’s most influential developers and gives them a platform to showcase their work, reach more people, and shape the future of GitHub.
Publicly accessible scalable single-person pose estimation as introduced in "EfficientPose: Scalable single-person pose estimation". We provide a simple intuitive interface for high-precision movement extraction from 2D images, vi
This Repository Consists of Free Resources needed for a person to learn Datascience from the beginning to end. This repository is divided into Four main Parts. They are
The Apache Flink SQL Cookbook is a curated collection of examples, patterns, and use cases of Apache Flink SQL. Many of the recipes are completely self-contained and can be run in Ververica Platform as is.
CryoDRGN is a neural network based algorithm for heterogeneous cryo-EM reconstruction. In particular, the method models a continuous distribution over 3D structures by using a neural network based representation for the volume.
This is one of the largest checklist available so far on the Internet. I have also added the raw XMIND file for you to use and custmise it the way you like.