Search Results for "scikit-learn" - Page 27
Sort By:
Showing 1969 open source projects for "scikit-learn"
View related business solutions-
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
System Design Notebook
Learn System Design step by step
System Design Notebook is a structured, personal knowledge base for learning and practicing system design, written in a way that mirrors real interview and on-the-job thinking. Instead of being a single long article, it’s split into topics like scalability, load balancing, data partitioning, caching, availability, consistency, and communication patterns, so you can study them in isolation. It emphasizes reasoning: why you pick a certain database, why you shard, why you put a queue, and what... -
2
Reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI
Reinforcement-learning is a widely used educational repository that provides implementations, exercises, and solutions for a broad range of reinforcement learning algorithms, designed to complement foundational texts and courses in the field. The project collects popular approaches such as dynamic programming, Monte Carlo methods, temporal difference learning, Q-learning, SARSA, deep Q-networks, and policy gradient techniques, often demonstrated with Python and OpenAI Gym environments so... -
3
Python Machine Learning 3rd Ed.
The "Python Machine Learning (3rd edition)" book code repository
...These examples are designed to illustrate how machine learning algorithms operate internally and how they can be applied to real datasets. Many examples rely on widely used libraries such as NumPy, scikit-learn, and deep learning frameworks to demonstrate modern machine learning workflows. -
4
HelloSystem-FreeBSD
MacOS Themed Linux - FreeBSD 13
It you wants to use MacOS themed or macOS similar linux kernel.e., Berkeley Software Distribution (BSD), then you can use HelloSystem OS, you will get the main bootable iso from Github, but I am sharing you, ready made OvF file, just import and use, no need to install. You can increase the Hardware Capacity like RAM, HDD STORAGE, or Graphics Memory, but you can minimise, because it is set upto minimum for smooth run. username is - hemant password is - <single space bar> for using... -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
5
esri-loader
A tiny library to help load ArcGIS API for JavaScript modules
...Follow the Install and Usage instructions below to get started. Then see more in depth instructions on how to configure the esri-loader and use it with React, Vue.js, Angular, Ember, or the ArcGIS Types. Learn how esri-loader can help improve application load performance and allow you to use the ArcGIS API in server-side rendered applications. The code snippets below show how to load the ArcGIS API and its modules and then use them to create a map. Where you would place similar code in your application will depend on which application framework you are using. ... -
6
Google Assistant Unofficial Desktop
A cross-platform unofficial Google Assistant Client for Desktop
...If you are on Windows 11, chances are you have winget pre-installed. If you are on older version of Windows (Windows 10) and don't have it installed, check out Install Winget documentation section to learn how to install it. -
7
EZAPIYA TYPING MASTER
Ezapiya Typing Master is a software to learn typing, it supports multi
...Typing Master will also suggest certain exercises based on the stats it receives through its monitoring tool. Step-by-step approach Special care has been taken to ensure that students will learn to type fast in the most effective way. Users will be taught effective and quick typing by breaking down the whole process into smaller steps. This increases the learning process and makes it more effective. New keys will be introduced desperately followed by step-by-step drills to master them fluently. Typing tests to monitor your progress The skill tests are a great w -
8
Shennina
Automating Host Exploitation with AI
...Shennina scans a set of input targets for available network services, uses its AI engine to identify recommended exploits for the attacks, and then attempts to test and attack the targets. If the attack succeeds, Shennina proceeds with the post-exploitation phase. The AI engine is initially trained against live targets to learn reliable exploits against remote services. Shennina also supports a "Heuristics" mode for identfying recommended exploits. -
9
aws-sagemaker-egde-quick-device-setup
Command line interface to easily onboard device with SageMaker Edge
...Optionally there is a build script to generate binaries and shasums for the relevant OS/architecture combination. We support out-of-the-box distributions for known OS and architectures. Learn about how to configure AWS credentials. Since the required IAM policy is fairly permissive and the credentials are only needed during setup, we recommend using temporary credentials. In order to invoke the CLI to create required resources in cloud the user/role must have required permission. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
-
10
BCI
BCI: Breast Cancer Immunohistochemical Image Generation
...Project pix2pix provides a python script to generate pix2pix training data in the form of pairs of images {A,B}, where A and B are two different depictions of the same underlying scene, these can be pairs {HE, IHC}. Then we can learn to translate A(HE images) to B(IHC images). The evaluation of human epidermal growth factor receptor 2 (HER2) expression is essential to formulate a precise treatment for breast cancer. The routine evaluation of HER2 is conducted with immunohistochemical techniques (IHC), which is very expensive. Therefore, for the first time, we propose a breast cancer immunohistochemical (BCI) benchmark attempting to synthesize IHC data directly with the paired hematoxylin and eosin (HE) stained images. -
11
DialoGPT
Large-scale pretraining for dialogue
...The system is built on the GPT-2 architecture and is designed specifically for multi-turn conversation tasks, enabling machines to produce coherent responses during interactive dialogue. The model was trained on a massive dataset of approximately 147 million conversational exchanges extracted from Reddit discussion threads, allowing it to learn patterns of natural human conversation. DialoGPT provides multiple pretrained model sizes and includes code for training, fine-tuning, and evaluating dialogue generation models. The repository also contains scripts for preparing conversation datasets and reproducing experimental benchmarks related to conversational AI research. -
12
Emb-GAM
An interpretable and efficient predictor using pre-trained models
...The final model (which we call Emb-GAM) is a transparent, linear function of its input features and feature interactions. Leveraging the language model allows Emb-GAM to learn far fewer linear coefficients, model larger interactions, and generalize well to novel inputs. Across a variety of natural-language-processing datasets, Emb-GAM achieves strong prediction performance without sacrificing interpretability. -
13
Gym
Toolkit for developing and comparing reinforcement learning algorithms
Gym by OpenAI is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents, everything from walking to playing games like Pong or Pinball. Open source interface to reinforce learning tasks. The gym library provides an easy-to-use suite of reinforcement learning tasks. Gym provides the environment, you provide the algorithm. You can write your agent using your existing numerical computation library, such as TensorFlow or Theano. It makes no... -
14
nlpaug
Data augmentation for NLP
This Python library helps you with augmenting nlp for your machine learning projects. Visit this introduction to understand Data Augmentation in NLP. Augmenter is the basic element of augmentation while Flow is a pipeline to orchestra multi augmenters together. -
15
SageMaker Scikit-Learn Extension
A library of additional estimators and SageMaker tools based on scikit
A library of additional estimators and SageMaker tools based on scikit-learn. This project contains standalone scikit-learn estimators and additional tools to support SageMaker Autopilot. Many of the additional estimators are based on existing scikit-learn estimators. SageMaker Scikit-Learn Extension is a Python module for machine learning built on top of scikit-learn. In order to use the I/O functionalies in the sagemaker_sklearn_extension.externals module, you will also need to install the mlio version 0.7 package via conda. ... -
16
Overboot
OverlayFS toolkit composing system layers at boot time
...Possible applications: - creating, testing, and distributing update packages, - creating and managing system snapshots without using virtual machines, - protecting the root partition from unwanted changes and damage, - speeding up services and applications running in the user space, - reducing the number of write cycles in flash drives, - versioning changes across the system, - quick rollback of changes or updates, - quick and easy device role switching, - debugging, - practice systems for students and trainers. See https://github.com/chodak166/overboot to learn more. -
17
Spring and Hibernate for Beginners
Source code for the course: Spring and Hibernate for Beginners
This repository contains code and resources for learning Spring and Hibernate, tailored to beginners looking to understand Java-based web development. Here is a Spring Boot Learning Path and Roadmap to help you learn more about Spring Boot. These are links to luv2code courses on Udemy. You can purchase the courses to further your studies. -
18
krangl
krangl is a {K}otlin DSL for data w{rangl}ing
krangl is a {K}otlin library for data w{rangl}ing. Implementing a grammar of data manipulation using a modern functional-style API, allows filtering, transforming, aggregating, and reshaping tabular data. krangl is heavily inspired by the amazing dplyr for R. krangl is written in Kotlin, excels in Kotlin, but emphasizes as well on good java-interop. It is mimicking the API of dplyr, while carefully adding more typed constructs where possible. -
19
Machine Learning PyTorch Scikit-Learn
Code Repository for Machine Learning with PyTorch and Scikit-Learn
...For those who are interested in knowing what this book covers in general, I’d describe it as a comprehensive resource on the fundamental concepts of machine learning and deep learning. The first half of the book introduces readers to machine learning using scikit-learn, the defacto approach for working with tabular datasets. Then, the second half of this book focuses on deep learning, including applications to natural language processing and computer vision. -
20
FileHelpers
The FileHelpers are a free and easy to use .NET library to read/write
...For example, log parsing, data warehouse and OLAP applications, communication between systems, file format transformations (for example transforming from a fixed length to a CSV file). The FileHelpers library is straightforward to learn and use. The engines of the library contain events to make it easier to extend the behavior of the library. -
21
rafah
Random Forest Assignment of Hosts
...To tackle this issue we developed a machine-learning approach named Random Forest Assignment of Hosts (RaFAH), which outperformed other methods for virus-host prediction. Our rationale was that the machine could learn the associations between genes and hosts much more efficiently than a human, while also using the information contained in the hypothetical proteins. Random forest models were built using the Ranger package in R. -
22
Idiomind
Idiomind is a program based in Bash scripts to learn foreign languages
-
23
Video Pre-Training
Learning to Act by Watching Unlabeled Online Videos
The Video PreTraining (VPT) repository provides code and model artifacts for a project where agents learn to act by watching human gameplay videos—specifically, gameplay of Minecraft—using behavioral cloning. The idea is to learn general priors of control from large-scale, unlabeled video data, and then optionally fine-tune those priors for more goal-directed behavior via environment interaction. The repository contains demonstration models of different widths, fine-tuned variants (e.g. for building houses or early-game tasks), and inference scripts that instantiate agents from pretrained weights. ... -
24
EZStacking
EZStacking is Jupyter notebook generator for machine learning
EZStacking is Jupyter notebook generator for supervised learning problems using Scikit-Learn pipelines and stacked generalization. EZStacking handles classification and regression problems for structured data. It can also be viewed as a development tool, because a notebook generated with EZStacking contains: -an exploratory data analysis (EDA) used to assess data quality - a modelling producing a reduced-size stacked estimator - a server returning a prediction, a measure of the quality of input data and the execution time. -
25
Hello AI World
Guide to deploying deep-learning inference networks
Hello AI World is a great way to start using Jetson and experiencing the power of AI. In just a couple of hours, you can have a set of deep learning inference demos up and running for realtime image classification and object detection on your Jetson Developer Kit with JetPack SDK and NVIDIA TensorRT. The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train...
