rphilipzhang

I am a scholar, teacher, and practitioner in data science and operations research.

NYU Shanghai, CUHK, Kuaishou Tech.Shanghai, Beijing, Hong Kong

Pinned Repositories

2022-NIPS-Tenrec
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539b
(Advanced) Applied Econometrics
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Advanced-DID
Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth
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AI-blog
Accompanying repository for Let's make a DQN / A3C series.
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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)
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AI-PhD-S24
Mono repo for the PhD course AI for Business Research (DSME 6635, S24)
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alphafold
Open source code for AlphaFold.
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alphatensor
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awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
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rphilipzhang
Philip Zhang's Home Page
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rphilipzhang's Repositories

rphilipzhang/AI-PhD-S24
Mono repo for the PhD course AI for Business Research (DSME 6635, S24)
8123
rphilipzhang/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)
62
rphilipzhang/rphilipzhang
Philip Zhang's Home Page
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rphilipzhang/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
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rphilipzhang/539b
(Advanced) Applied Econometrics
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rphilipzhang/Advanced-DID
Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth
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rphilipzhang/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
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rphilipzhang/Content_Promotion
Code for the paper -- Content Promotion for Online Content Platforms with the Diffusion Effect
rphilipzhang/DCFormer
rphilipzhang/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.
rphilipzhang/ding_causalInference_python
python implementation of Peng Ding's "First Course in Causal Inference"
rphilipzhang/dive-into-llms
《动手学大模型Dive into LLMs》系列编程实践教程
rphilipzhang/DOT-server
About the usage of GPU servers, including 137.189.75.113, 137.189.75.114 and 137.189.75.115.
rphilipzhang/gensim
Topic Modelling for Humans
rphilipzhang/grok-1
Grok open release
rphilipzhang/Heterogeneous-Effects
Machine Learning and Heterogeneous Effects taught by Brigham Frandsen
rphilipzhang/llama3-from-scratch
llama3 implementation one matrix multiplication at a time
rphilipzhang/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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rphilipzhang/llm.c
LLM training in simple, raw C/CUDA
rphilipzhang/LLM101n
LLM101n: Let's build a Storyteller
rphilipzhang/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
rphilipzhang/Machine-Learning
Machine Learning and Causal Inference taught by Brigham Frandsen
rphilipzhang/Meituan-INFORMS-TSL-Research-Challenge
rphilipzhang/MetaGPT
🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
rphilipzhang/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
rphilipzhang/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
rphilipzhang/RecommenderSystem
rphilipzhang/ShiArthur03
rphilipzhang/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
rphilipzhang/turing-experiments
Code for "Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies"