cslwqxx's Stars
terryum/awesome-deep-learning-papers
The most cited deep learning papers
hwdsl2/setup-ipsec-vpn
Scripts to build your own IPsec VPN server, with IPsec/L2TP, Cisco IPsec and IKEv2
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
microsoft/ai-edu
AI education materials for Chinese students, teachers and IT professionals.
apache/doris
Apache Doris is an easy-to-use, high performance and unified analytics database.
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
aymericdamien/TopDeepLearning
A list of popular github projects related to deep learning
microsoft/muzic
Muzic: Music Understanding and Generation with Artificial Intelligence
apache/singa
a distributed deep learning platform
microsoft/GraphEngine
Microsoft Graph Engine
microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
ruboto/ruboto
A platform for developing apps using JRuby on Android.
syhw/wer_are_we
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
harvardnlp/seq2seq-attn
Sequence-to-sequence model with LSTM encoder/decoders and attention
microsoft/maro
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
microsoft/FOST
FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.
microsoft/qlib-server
Qlib-Server is the data server system for Qlib. It enable Qlib to run in online mode. Under online mode, the data will be deployed as a shared data service. The data and their cache will be shared by all the clients. The data retrieval performance is expected to be improved due to a higher rate of cache hits. It will consume less disk space, too.
cmusatyalab/elijah-cloudlet
Elijah cloudlet system