opoppo's Stars
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
shap/shap
A game theoretic approach to explain the output of any machine learning model.
pydantic/pydantic
Data validation using Python type hints
microsoft/CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
brendangregg/FlameGraph
Stack trace visualizer
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
google/or-tools
Google's Operations Research tools:
numba/numba
NumPy aware dynamic Python compiler using LLVM
jemalloc/jemalloc
aikorea/awesome-rl
Reinforcement learning resources curated
vaexio/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
microsoft/SandDance
Visually explore, understand, and present your data.
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
google/orbit
C/C++ Performance Profiler
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
mars-project/mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
dreamquark-ai/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
serge-sans-paille/pythran
Ahead of Time compiler for numeric kernels
sickill/vim-monokai
Monokai color scheme for Vim converted from Textmate theme
facebookresearch/torchbeast
A PyTorch Platform for Distributed RL
maks-sh/scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
drawbridge/keras-mmoe
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
niosus/EasyClangComplete
:boom: Robust C/C++ code completion for Sublime Text 3/4
benmiroglio/pymatch
ronikobrosly/causal-curve
A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
ptuls/tabnet-modified
Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
dbmptr/EPOSearch
Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
windowsair/Kikai-VisualStudio-Theme
Monokai style editor theme for Visual Studio 2017 & 2019