MuhammadAgf's Stars
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
charlax/professional-programming
A collection of learning resources for curious software engineers
pola-rs/polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
nicolargo/glances
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
PromtEngineer/localGPT
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
datastacktv/data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
ryanburgess/engineer-manager
A list of engineering manager resource links.
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
huggingface/tokenizers
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
rsalmei/alive-progress
A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
ksindi/managers-playbook
:book: Heuristics for effective management
zenml-io/zenml
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
latitudegames/AIDungeon
Infinite adventures await!
GoogleCloudPlatform/professional-services
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
google/mathsteps
Step by step math solutions for everyone
rmcelreath/statrethinking_winter2019
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
jrfiedler/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
gpleiss/temperature_scaling
A simple way to calibrate your neural network.
nomic-ai/pygpt4all
Official supported Python bindings for llama.cpp + gpt4all
SeldonIO/MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Mcompetitions/M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
djnavarro/rbook
Source files for "Learning Statistics with R"
slgriff/EPI-to-LC
Mappings of problems from the book Elements of Programming Interviews (EPI) to Leetcode
sibylhe/mmm_stan
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
ARBML/Calliar
A dataset for online Arabic calligraphy. A collection of 2500 annotated calligraphic styles.
SeldonIO/tempo
MLOps Python Library
station-10/awesome-marketing-machine-learning
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more