rischanlab
Data Scientist | Kaggle Competitions Expert | Blockchain Consultant | Crypto and NFTs Practitioner
Brisbane
rischanlab's Stars
l2beat/l2beat
L2BEAT is an analytics and research website about Ethereum layer two (L2) scaling solutions.
tczpl/XBlock-ETH
Extracting and Exploring Blockchain Data from Ethereum
mingrammer/diagrams
:art: Diagram as Code for prototyping cloud system architectures
wzchen/probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
olton/mina-monitor-cluster
Mina Monitor is an extended graphical version of the mina client status command with additional indicators. This is a client-server application for visual monitoring of the validator nodes and alerts and restart (if need) when the nodes have a problem.
dguess/mina-node-dashboard
Mina Node Dashboard
olton/mina-node-monitor
Mina Monitor is an extended graphical version of the mina client status command with additional indicators. This is a client-server application for visual monitoring of the validator node and alerts and restart (if need) when the node has a problem.
dsrvlabs/mina-performance-dashboard
Coda performance dashboard for block producer and snarker
Trivo25/minaview
An ecosystem overview for the MINA protocol
Psychedelic/plug
Plug is a browser extension for users of the Internet Computer that allows you to access your ICP, Cycles, and other tokens as well as log into IC apps with one click.
shervinea/cheatsheet-translation
Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence
shervinea/stanford-cme-102-ordinary-differential-equations
VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers
shervinea/stanford-cme-106-probability-and-statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
shervinea/mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
priyankavergadia/google-cloud-4-words
The Google Cloud Developer's Cheat Sheet
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
AdrianBZG/Twitter-Follow-Exploit
Automated Twitter mass account creation and follow using Selenium and Tor VPN
jjmontesl/cubesviewer-server
CubesViewer server-side app and backend (optional)
akphi/vanilla.knapsack
Explore different algorithms for Maximum 0-1 Knapsack
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
domainxz/top-k-rec
A method collection for top-k recommendation
ekzhu/datasketch
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
pberkes/big_O
Python module to estimate big-O time complexity from execution time
wmayner/pyemd
Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric
plotly/dash-oil-and-gas-demo
Dash Demo App - New York Oil and Gas
apache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
vega/altair
Declarative statistical visualization library for Python
biolab/orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis