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WebSearch.Net
WebSearch.Net is an open-source research platform that provides uniform data source access, data modeling, feature calculation, data mining, etc.
algorithms research search visual-studio webvuvuzela - Private messaging system that hides metadata
Vuvuzela is a messaging system that protects the privacy of message contents and message metadata. Users communicating through Vuvuzela do not reveal who they are talking to, even in the presence of powerful nation-state adversaries. Our SOSP 2015 paper explains the system, its threat model, performance, limitations, and more. Our SOSP 2015 slides give a more graphical overview of the system. Vuvuzela is the first system that provides strong metadata privacy while scaling to millions of users. Previous systems that hide metadata using Tor (such as Pond) are prone to traffic analysis attacks. Systems that encrypt metadata using techniques like DC-nets and PIR don't scale beyond thousands of users.
vuvuzela metadata privacy messaging chat cryptography researchcarla - Open-source simulator for autonomous driving research.
CARLA is an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous urban driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. If you want to benchmark your model in the same conditions as in our CoRL’17 paper, check out Benchmarking.
simulator autonomous-vehicles autonomous-driving research ai artificial-intelligence computer-vision deep-learning deep-reinforcement-learning imitation-learning self-driving-car ue4 unreal-engine-4 cross-platformawesome-deep-learning-music - List of articles related to deep learning applied to music
By Yann Bayle (Website, GitHub) from LaBRI (Website, Twitter), Univ. Bordeaux (Website, Twitter), CNRS (Website, Twitter) and SCRIME (Website). The role of this curated list is to gather scientific articles, thesis and reports that use deep learning approaches applied to music. The list is currently under construction but feel free to contribute to the missing fields and to add other resources! To do so, please refer to the How To Contribute section. The resources provided here come from my review of the state-of-the-art for my PhD Thesis for which an article is being written. There are already surveys on deep learning for music generation, speech separation and speaker identification. However, these surveys do not cover music information retrieval tasks that are included in this repository.
awesome awesome-list unicorns list lists resources deeplearning deep-learning deep-neural-networks neural-network neural-networks music music-information-retrieval audio audio-processing article music-genre-classification bib machine-learning researchAirSim - Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research
AirSim is a simulator for drones (and soon other vehicles) built on Unreal Engine. It is open-source, cross platform and supports hardware-in-loop with popular flight controllers such as PX4 for physically and visually realistic simulations. It is developed as an Unreal plugin that can simply be dropped in to any Unreal environment you want.
drones ai self-driving-car autonomous-vehicles autonomous-quadcoptor research computer-vision artificial-intelligence deeplearning deep-reinforcement-learning control-systems pixhawk cross-platform platform-independent airsim unreal-engine simulatorrwa - Machine Learning on Sequential Data Using a Recurrent Weighted Average
This repository holds the code to a new kind of RNN model for processing sequential data. The model computes a recurrent weighted average (RWA) over every previous processing step. With this approach, the model can form direct connections anywhere along a sequence. This stands in contrast to traditional RNN architectures that only use the previous processing step. A detailed description of the RWA model has been published in a manuscript at https://arxiv.org/pdf/1703.01253.pdf. Because the RWA can be computed as a running average, it does not need to be completely recomputed with each processing step. The numerator and denominator can be saved from the previous step. Consequently, the model scales like that of other RNN models such as the LSTM model.
recurrent-neural-networks sequential-data time-series research rwa-model recurrent-weighted-average deep-memoryreading - A list of computer-science related readings I'm planning on reading. Would love PR's!
A list of computer-science related readings I'm planning on reading. Would love PR's!
reading science academia research computer-science compiler type-system concurrency parallel-computing operating-system static-analysis garbage-collectionDryad - Repository for data underlying scientific publications, based on the DSpace platform
Dryad is a repository for data underlying scientific literature. Dryad allows investigators to validate published findings, explore new analysis methodologies and repurpose the data for research questions unanticipated by the original authors. The core code of Dryad comes from the DSpace repository software. It is a general-purpose repository that makes the data underlying scientific publications discoverable, freely reusable, and citable.
data repository science knowledge-sharing citation research analysisawesome-research - :seedling: a curated list of tools to help you with research/life
A list of tools for research. First things first, everyone should know version control systems. Version control is one of the most useful tools for scientists.
awesome research awesome-list awesomeness listLaTeX-examples - Examples for the usage of LaTeX
Many examples can be found on my Wikpedia Commons user page. You might also be interested in my Blog.
latex tex tikz mathematics science researchGibsonEnv - Gibson Environments: Real-World Perception for Embodied Agents
You shouldn't play video games all day, so shouldn't your AI! We built a virtual environment simulator, Gibson, that offers real-world experience for learning perception. I. being from the real-world and reflecting its semantic complexity through virtualizing real spaces, II. having a baked-in mechanism for transferring to real-world (Goggles function), and III. embodiment of the agent and making it subject to constraints of space and physics via integrating a physics engine (Bulletphysics).
computer-vision robotics simulator sim2real deep-learning deep-reinforcement-learning research ros reinforcement-learning cvpr2018SLM-Lab - Modular Deep Reinforcement Learning framework in PyTorch.
Modular Deep Reinforcement Learning framework in PyTorch. A multitask agent solving both OpenAI Cartpole-v0 and Unity Ball2D.
reinforcement-learning pytorch openai-gym framework research dqn artificial-intelligence policy-gradient actor-critic ppo a3c deep-rlpicongpu - Particle-in-cell simulations for the exascale era :sparkles:
PIConGPU is a fully relativistic, manycore, 3D3V particle-in-cell (PIC) code. The Particle-in-Cell algorithm is a central tool in plasma physics. It describes the dynamics of a plasma by computing the motion of electrons and ions in the plasma based on Maxwell's equations. As one of our supported compute platforms, GPUs provide a computational performance of several TFLOP/s at considerable lower invest and maintenance costs compared to multi CPU-based compute architectures of similar performance. The latest high-performance systems (TOP500) are enhanced by accelerator hardware that boost their peak performance up to the multi-PFLOP/s level. With its outstanding performance and scalability to more than 18'000 GPUs, PIConGPU was one of the finalists of the 2013 Gordon Bell Prize.
laser plasma physics gpu physics-simulation gpu-computing particle-accelerator particle-in-cell pic researchVCC
VCC is a mechanical verifier for concurrent C programs. VCC takes a C program, annotated with function specifications, data invariants, loop invariants, and ghost code, and tries to prove these annotations correct.
compiler research verification fsharpPrinter Usage Monitoring Application
The Printer Usage Monitoring Application is an open and extensible printer usage monitoring application. It allows businesses, government departments and educational establishments to track their printer usage and identify cost savings that can be made.
printer ee printer-monitoring printqueuewatch puma research usageCaprice: Engineering Adaptive Privacy
Caprice is a tool aimed at supporting software engineers in the design of applications that appropriately adapt their behaviour to mitigate privacy threats. This tool helps provide software engineers design-time insight on the functional behaviour of a system and the associate...
engineering-privacy pbd research toolNoteExpress User Tools (NEUT) - Do it by ourselves!
NoteExpress User Tool (NEUT) is a opensource project for NoteExpress user developpers to share their tools and ideas using secondary development. NoteExpress User Tool (NEUT)?NoteExpress ?????????????????
ironpython literature noteexpress researchSingularity RDK
The Singularity Research Development Kit (RDK) is a Shared Source project based on the Singularity research project out of Microsoft Research. The Singularity RDK is available for academic non-commercial use only. Singularity is a research project focused on the construction...
singularity os operating-system research singularity-rdk watchNetPing
NetPing is an extensible utility that allows for custom display of networked Windows computers, as well as the ability to perform custom actions on these computers. The utility is provided with a few of each feature.
networking research
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