Grigori Fursin's repositories
browser-extension-for-reproducible-research
Browser extension for Chrome and FireFox to collaboratively annotate web pages with related research papers, code, reproducible results, scoreboards, portable workflows and reusable artifacts.
ck-dissemination
CK dissemination
ck-portal-data
Data for portal
cm-ctuning-code-source
Collective Mind Repository (cTuning; Benchmarks) - outdated
mlperf-inference-results-dummy
Empty repository for MLPerf inference results
research-paper-title-generator-for-android
Automatic research paper title generator (computer engineering) for Android devices
AggregaThor
Byzantine-resilient distributed SGD with TensorFlow.
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going).
ck
Collective Knowledge framework (CK) helps to organize any software project as a database of reusable components and micro-services with common APIs, automation actions and extensible meta descriptions. See real-world use cases from MLPerf, Arm, General Motors, IBM, Raspberry Pi and ACM:
ck-autotuning
Collective Knowledge extension to let users implement customizable, portable, multi-dimensional and multi-objective SW/HW auto-tuning workflows using Collective Knowledge Framework. It is used as a universal engine for collaborative AI crowd-benchmarking and crowd-tuning across different compilers, libraries, run-time systems and platforms:
ck-openvino
Collective Knowledge workflows for OpenVINO Toolkit (Deep Learning Deployment Toolkit)
ck-request-asplos18-mobilenets-armcl-opencl
CK workflow for ReQuEST ASPLOS'18 submission:
cm-ctuning-code-source-dataset-min
Collective Mind Repository (cTuning; Program data sets) - outdated
cm-ctuning-shared
Collective Mind Repository (cTuning; Main) - outdated
CompilerGym
A reinforcement learning toolkit for compiler optimizations
connectme
Prototyping connectME library
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
gym
A toolkit for developing and comparing reinforcement learning algorithms.
inference_results_v1.0
MLPerf™ v1.0 results
paperswithcode-client
API Client for paperswithcode.com
quanto
A pytorch Quantization Toolkit
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
reproduce-cgo2017-paper
Artifact Evaluation Reproduction for "Software Prefetching for Indirect Memory Accesses", CGO 2017, using CK.
reproducibility-site
A work-in-progress website for aggregating reproducibility solutions and their capabilities.