alastairrushworth's Stars
ralexander-phi/rss-blogroll-network
gabrieltempass/streamlit-navigation-bar
A component that allows you to place a navigation bar in your Streamlit app.
bclarkson-code/o-grade
climberscrack/The-O-Grader
The Definitive Answer to Grading Controversy.
kagisearch/smallweb
Kagi Small Web
teamtv/streamlit_modal
deepset-ai/haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
tylerjrichards/st-paywall
A python package for creating subscription Streamlit apps
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
eugeneyan/open-llms
📋 A list of open LLMs available for commercial use.
nomic-ai/gpt4all
GPT4All: Chat with Local LLMs on Any Device
hyungkwonko/umato
Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)
gesistsa/rtoot
:mammoth: R package to interact with the mastodon API
Xtra-Computing/thundergbm
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Netflix/metaflow
:rocket: Build and manage real-life ML, AI, and data science projects with ease!
lebebr01/pdfsearch
Search pdf files for keywords.
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
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.
PhilippPro/tuneRanger
Automatic tuning of random forests
ThinkR-open/prepare-for-cran
A Collaborative list of things to know before submitting to CRAN
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
nanxstats/awesome-shiny-extensions
🐝 Awesome R and Python packages offering extended UI or server components for the web framework Shiny
JohnCoene/firebase
Google FIrebase for shiny
apache/arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
JohnCoene/waiter
🕰️ Loading screens for Shiny
sctyner/history_of_statistics
Resources for learning about the history of statistics and statisticians. By statisticians, for statisticians.
igorbarinov/awesome-data-engineering
A curated list of data engineering tools for software developers
machow/siuba
Python library for using dplyr like syntax with pandas and SQL