2022-nips-tenrec

539b

(Advanced) Applied Econometrics

advanced-did

Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth

ai-blog

Accompanying repository for Let's make a DQN / A3C series.

ai-phd-antai-su2024

Mono repo for the PhD course AI for Business Research at Shanghai Jiao Tong University, Antai College of Economics and Management (Summer 2024)

ai-phd-s24

Mono repo for the PhD course AI for Business Research (DSME 6635, S24)

alphafold

Open source code for AlphaFold.

alphatensor

analysis-on-retaildemandprediction

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

autogluon

AutoGluon: AutoML for Text, Image, and Tabular Data

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

baby-a3c

A high-performance Atari A3C agent in 180 lines of PyTorch

causalml

Uplift modeling and causal inference with machine learning algorithms

cold_start_to_improve_market_thickness_simulation

Simulation code and data of the paper - cold start to improve market thickness

competitive-rl

A set of competitive environments for Reinforcement Learning research.

content_promotion

Code for the paper -- Content Promotion for Online Content Platforms with the Diffusion Effect

cs224n-winter-together

an Open Course Platform for Stanford CS224n (2020 Winter)

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.

dcformer

deep-learning-specialization-coursera

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

deep_learning_based_causal_inference_for_combinatorial_experiments

codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments

deepbeerinventory-rl

The code for the SRDQN algorithm to train an agent for the beer game problem

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

ding_causalinference_python

python implementation of Peng Ding's "First Course in Causal Inference"

dive-into-llms

《动手学大模型Dive into LLMs》系列编程实践教程

doing-applied-research

Doing Applied Economics Research Mixtape Track taught by Mark Anderson and Daniel Rees

dot-server

About the usage of GPU servers, including 137.189.75.113, 137.189.75.114 and 137.189.75.115.

doubleml-for-py

DoubleML - Double Machine Learning in Python

doubleml-for-r

DoubleML - Double Machine Learning in R