Sammy Credell's starred repositories
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Paper_CausalInference_abtest
因果推理&AB实验相关论文小书库
machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
awesome-wechat-weapp
微信小程序开发资源汇总 :100:
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
cs-video-courses
List of Computer Science courses with video lectures.
50projects50days
50+ mini web projects using HTML, CSS & JS
RSSAggregatorforWeb3
Bootstrapping your personal Web3 info hub from more than 600 RSS Feeds.
thorough-pytorch
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
deep-rl-class
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
deeplearning-models
A collection of various deep learning architectures, models, and tips
causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
CausalInferenceIntro
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
kdd2021-tutorial
EconML/CausalML KDD 2021 Tutorial
FixedEffectModel
Fixedeffectmodel: panel data modeling in Python