Mingkai Deng (mingkaid)

mingkaid

Geek Repo

Location:Pittsburgh, PA

Home Page:https://mingkaid.github.io/

Twitter:@mdeng34

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Mingkai Deng's repositories

rl-prompt

Accompanying repo for the RLPrompt paper

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nyc-gentrification

Project for Columbia DataFest 2018

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spectator-fb-insights-automation

Obtain authorization, call Facebook Graph API to pull insights, and enter data into spreadsheets

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2014-summer-simulated-quantum-annealing

Research at MIT CTP to simulate the power of D-Wave quantum computers to tunnel through high energy barriers during optimization

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instruments-correlation-exploration

Exploration of correlations between financial instruments from 10 years of Bloomberg data

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OpenDevin

🐚 OpenDevin: Code Less, Make More

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2016-summer-jordan-coral-reef-regression

Cross-validate regression models featuring Ridge and LASSO regularizations to predict coral reef biodiversity

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Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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BrowserGym

BrowserGym, a gym environment for web task automation in the Chromium browser.

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dogs-vs-cats-clf-python

A solution to dog-cat classification problem using Python

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federal-employee-analysis

An analysis of US federal employee profile based on publicly available data

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forte

Forte is a flexible and powerful NLP builder FOR TExt. This is part of the CASL project: http://casl-project.ai/

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LabsTechChallenge

Applying to Labs? This quick technical challenge is here to make sure you're ready to join the team.

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MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

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my-fast-chat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

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solutions-gcs-bq-streaming-functions-python

Streaming data from Cloud Storage into BigQuery using Cloud Functions

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texar-pytorch

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation

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universal-triggers

Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

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useful_code

useful r functions and snippets

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