vincent27hugh's Stars
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
xai-org/grok-1
Grok open release
openai/openai-python
The official Python library for the OpenAI API
microsoft/JARVIS
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
hpcaitech/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
AI4Finance-Foundation/FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
academicpages/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
leptonai/search_with_lepton
Building a quick conversation-based search demo with Lepton AI.
HumanAIGC/EMO
Emote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
py-why/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.
dcajasn/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
phanein/deepwalk
DeepWalk - Deep Learning for Graphs
aditya-grover/node2vec
firmai/machine-learning-asset-management
Machine Learning in Asset Management (by @firmai)
wangyongjie-ntu/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
eliorc/node2vec
Implementation of the node2vec algorithm.
BytedanceSpeech/seed-tts-eval
maks-sh/scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
gesiscss/awesome-computational-social-science
A list of awesome resources for Computational Social Science
borusyak/did_imputation
Event studies: robust and efficient estimation, testing, and plotting
jhartford/DeepIV
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
blei-lab/causal-text-embeddings
Software and data for "Using Text Embeddings for Causal Inference"
station-10/awesome-marketing-machine-learning
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
rphilipzhang/AI-PhD-S24
Mono repo for the PhD course AI for Business Research (DSME 6635, S24)
matteocourthoud/Machine-Learning-for-Economic-Analysis
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
jcpeterson/choices13k
BoulderDS/human-centered-machine-learning
tbienias/PyTwits
PyTwits is a REST-API Wrapper for StockTwits.
Trinli/uplift_modeling
Code related to my dissertation on uplift modeling (a.k.a. heterogeneous treatment effect)