mbloem's Stars
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
dagster-io/dagster
An orchestration platform for the development, production, and observation of data assets.
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
bentoml/BentoML
The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
salesforce/Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
CamDavidsonPilon/lifelines
Survival analysis in Python
IntelLabs/coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
dexplo/bar_chart_race
Create animated bar chart races in Python with matplotlib
jwass/mplleaflet
Easily convert matplotlib plots from Python into interactive Leaflet web maps.
amzn/pecos
PECOS - Prediction for Enormous and Correlated Spaces
gabgoh/epcalc
Epidemic Calculator
PyPSA/linopy
Linear optimization with N-D labeled arrays in Python
berkeleydeeprlcourse/homework_fall2021
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
amzn/auction-gym
AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online advertising auctions.
OptMLGroup/DeepBeerInventory-RL
The code for the SRDQN algorithm to train an agent for the beer game problem
FarnazAdib/Crash_course_on_RL
This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
ermongroup/pirank
PiRank: Learning to Rank via Differentiable Sorting
mds1/path-planning
Hierarchical D* Lite: A real-time 3D path planning algorithm
amazon-science/creating-and-correcting-novel-ml-model-errors
aws-samples/covid19-simulation
Toolkit for COVID-19 simulation.
aksnzhy/xlearn_doc
Document of xLearn
collinprather/drsa
An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.
cvxgrp/OSBDO
Oracle-Structured Bundle Distributed Optimization (OSBDO)
acircleda/Flight-Emissions-Calculator
Flight Emissions Calculator