DigitalSoul

Compute Platform

A platform for building and executing computations across multiple computing paradigms.

Unified Compute Platform - CPU, GPU, FPGA, Quantum Computing

GitHub

7 stars
1 watching
0 forks
Language: Python
last commit: 5 months ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
sttts/compute-platform A mesos-based compute platform that automates the deployment and management of computing resources using Ansible 24
spreads/spreads A high-performance library for real-time data processing and time series manipulation 427
datonic/datadex A platform for collaborative open data management and analysis 260
cloud-cv/fabrik An online platform to design and visualize neural networks collaboratively 1,127
crystal-data/num.cr A scientific computing library providing efficient data structures and numerical operations 151
progamergov/neural-dream An implementation of DeepDream algorithm using PyTorch for image processing and computer vision. 132
heliumproject/core A C++ platform abstraction and standard library with features like Reflection, IPC, and RPC for building modern applications 34
geek-ai/magent A platform for multi-agent reinforcement learning research and development 1,690
slideruleearth/sliderule A cloud-native framework for on-demand science data processing in the cloud. 29
pulp-platform/common_cells Provides commonly used systemverilog components for digital design 517
dr-noob/cpufetch A tool that displays information about the processor architecture and color scheme of a computer system. 1,905
cerr/cerr A platform for radiological research using deep learning and computer vision techniques. 192
gazette/core Enables teams to build platforms mixing SQL, batch, and real-time streaming processing paradigms 718
cosmian/ciphercompute Enables secure collaborative computation without data sharing or movement. 26
jingweiz/pytorch-dnc An implementation of Neural Turing Machine and Differentiable Neural Computer architectures using PyTorch and Visdom for deep learning tasks. 278