Search Results for "ai framework" - Page 5
Sort By:
Showing 182 open source projects for "ai framework"
View related business solutions-
Red Hat Enterprise Linux on Microsoft AzureRed Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
-
Software Testing Platform | TesteumTired of bugs and poor UX going unnoticed despite thorough internal testing? Testeum is the SaaS crowdtesting platform that connects mobile and web app creators with carefully selected testers based on your criteria.
-
1
Deep Exemplar-based Video Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Colorization"
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization". End-to-end network for exemplar-based video colorization. The main challenge is to achieve temporal consistency while remaining faithful to the reference style. To address this issue, we introduce a recurrent framework that unifies the semantic correspondence and color propagation steps. Both steps allow a provided reference image to guide the colorization of every frame, thus reducing accumulated propagation errors... -
2
Piskvorky
Game for two players know as 'five in a row' or 'gomoku'.
Piskvorky is 'five in a row' (also know as 'Gomoku') game. Small project provides customization and offer basic AI. Written in C++ with Qt framework. Feedback is always welcomed. -
3
WhyLogs Java Library
Profile and monitor your ML data pipeline end-to-end
This is a Java implementation of WhyLogs, with support for Apache Spark integration for large scale datasets. Understanding the properties of data as it moves through applications is essential to keeping your ML/AI pipeline stable and improving your user experience, whether your pipeline is built for production or experimentation. WhyLogs is an open source statistical logging library that allows data science and ML teams to effortlessly profile ML/AI pipelines and applications, producing log... -
4
HyperGAN
Composable GAN framework with api and user interface
A composable GAN built for developers, researchers, and artists. HyperGAN builds generative adversarial networks in PyTorch and makes them easy to train and share. HyperGAN is currently in pre-release and open beta. Everyone will have different goals when using hypergan. HyperGAN is currently beta. We are still searching for a default cross-data-set configuration. Each of the examples supports search. Automated search can help find good configurations. If you are unsure, you can start with... -
Free CRM Software With Something for EveryoneThink CRM software is just about contact management? Think again. HubSpot CRM has free tools for everyone on your team, and it’s 100% free. Here’s how our free CRM solution makes your job easier.
-
5
TFKit
Handling multiple nlp task in one pipeline
TFKit is a tool kit mainly for language generation. It leverages the use of transformers on many tasks with different models in this all-in-one framework. All you need is a little change of config. You can use tfkit for model training and evaluation with tfkit-train and tfkit-eval. The key to combine different task together is to make different task with same data format. All data will be in csv format - tfkit will use csv for all task, normally it will have two columns, first columns... -
6
ChainerRL
ChainerRL is a deep reinforcement learning library
ChainerRL (this repository) is a deep reinforcement learning library that implements various state-of-the-art deep reinforcement algorithms in Python using Chainer, a flexible deep learning framework. PFRL is the PyTorch analog of ChainerRL. ChainerRL has a set of accompanying visualization tools in order to aid developers' ability to understand and debug their RL agents. With this visualization tool, the behavior of ChainerRL agents can be easily inspected from a browser UI. Environments... -
7
nGraph
nGraph has moved to OpenVINO
Frameworks using nGraph Compiler stack to execute workloads have shown up to 45X performance boost when compared to native framework implementations. We've also seen performance boosts running workloads that are not included on the list of Validated workloads, thanks to nGraph's powerful subgraph pattern matching. Additionally, we have integrated nGraph with PlaidML to provide deep learning performance acceleration on Intel, nVidia, & AMD GPUs. nGraph Compiler aims to accelerate developing AI... -
8
MMF
A modular framework for vision & language multimodal research
MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-the-art vision and language models and has powered multiple research projects at Facebook AI Research. MMF is designed from ground up to let you focus on what matters, your model, by providing boilerplate code for distributed training, common datasets and state-of-the-art pre-trained baselines out-of-the-box. MMF is built on top of PyTorch... -
9
Microsoft AI Lab
Explore, learn, and code the latest breakthrough AI innovations
..., effectiveness of machine learning models, and ease of development. Learn to create your own AI experiences with learning paths in conversational AI, machine learning, AI for devices, cognitive services, autonomous systems, AI strategy, and more. Start building AI solutions with powerful tools and services. Microsoft AI is a robust framework for developing AI solutions in conversational AI, machine learning, data sciences, robotics, IoT, and more. -
Bright Data - All in One Platform for Proxies and Web ScrapingBright Data offers the highest quality proxies with automated session management, IP rotation, and advanced web unlocking technology. Enjoy reliable, fast performance with easy integration, a user-friendly dashboard, and enterprise-grade scaling. Powered by ethically-sourced residential IPs for seamless web scraping.
-
10
BWAPI
An API for interacting with Starcraft: Brood War (1.16.1)
Brood War Application Programming Interface or BWAPI is a free and open source C++ framework that is used to create Artificial Intelligence (AI) agents that play the popular Real Time Strategy (RTS) game Starcraft: Brood War. With BWAPI, players of varying levels can create AI agents to play Brood War, but with certain limits. BWAPI will only reveal visible parts of the game state to AI modules to enable programmers to write competitive non-cheating AIs. BWAPI also denies user input so... -
11
Caffe Framework
Caffe, a fast open framework for deep learning
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine... -
12
TorchCraft
Connecting Torch to StarCraft
We present TorchCraft, a library that enables deep learning research on Real-Time Strategy (RTS) games such as StarCraft: Brood War, by making it easier to control these games from a machine learning framework, here Torch. This white paper argues for using RTS games as a benchmark for AI research, and describes the design and components of TorchCraft. TorchCraft is a BWAPI module that sends StarCraft data out over a ZMQ connection. This lets you parse StarCraft data and interact with BWAPI from... -
13
Swift AI
The Swift machine learning library
... of Swift AI. Each resides in their own repository and can be built with little or no configuration. Each module now contains its own documentation. We recommend that you read the docs carefully for detailed instructions on using the various components of Swift AI. The example projects are another great resource for seeing real-world usage of these tools. Swift AI currently depends on Apple's Accelerate framework for vector/matrix calculations and digital signal processing. -
14
Caffe
A fast open framework for deep learning
Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and Learning... -
15
Infinite Wisdom
Java RTS framework
A bare bones RTS game framework. With some working code (but many features missing). In the future there will be features that let you help data-mine a set of replays to identify weaknesses in strategy, and have some building blocks to build AI agents. Alpha phase. See "website" below for some documentation. At the moment there's no detailed getting started guide, but you can get some pointers at the bottom of the main Javadoc page in the "Description" section. Proper tutorial... -
16
Romance MMO Game Development Framework
Massively multiplayer online game server and client framework
... 1.1) and server-side Bullet physics, as well as extremely powerful AI development utilities for logical agent characters. The server is mostly in Common Lisp, the client in Parenscript/JavaScript, and some tools are in Perl and Emacs Lisp. -
17
AI Search Agent Framework
Java Framework for Artificial Intelligence Search Agents algorithms
-
18
Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1... -
19
Tic Tac Toe
Exciting Tic Tac Toe game full of features
Hello World, my name's Nick . I like this game since a long time. I played various versions of it, but they all lack in customization. That always made me want to make my own version of Tic Tac Toe since I was 10 or so. I couldn't even program! So I'm now attempting to make it look beautiful and full of little details. I hope you're gonna enjoy it! Coder: Nick . Tester: Alex You need Microsoft .Net Framework 4.5 or the application won't start. .Net Framework 4.5 is already... -
20
JCLALtext
Text processing module for JCLAL
JCLALtext is a class library designed to extend the framework JCLAL text tasks. JCLALtext is free, open source and developed with the Java programming language. JCLALtext is distributed under the GNU license. The researcher can use the class library by adding it to your project. -
21
The Star Ships Learning Framework (SSLF) provides basic routines and methods in order to interact with the space shooter Star Ships V2.1. It provides the necessary interfaces for controlling the program's ships and its logic from outside the game.
-
22
Game framework including 1, 2 and multi-players modes which doesn't involve any central server, so peer-to-peer multi-players equivalent! Java environment (v. 1.5+ @ java.sun.com) Including a multi-platform API. Imaging capabilities provided by Java Advanced Imaging (JAI) and 3D support provided by the LWJGL (www.lwjgl.org) API.
-
23
Spirit Development Kit is a SDK for development, simulation, and evolving of intelligent agents. Includes a library of AI algorithms and more a framework for modelling and simulations.
-
24
-
25
The ERDialog project offers a simple browser framework for small projects written in Erlang. Written applets include a bittorrent client, address book, text editor, AI experiments and graphics and music applications.