puneethmishra's Stars
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
trekhleb/learn-python
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
aaronwangy/Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
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.
jbesomi/texthero
Text preprocessing, representation and visualization from zero to hero.
AstraZeneca/awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
GoogleCloudPlatform/vertex-ai-samples
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
facebookexperimental/Robyn
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
ermongroup/SDEdit
PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
aimclub/FEDOT
Automated modeling and machine learning framework FEDOT
michiyasunaga/qagnn
[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖
sknetwork-team/scikit-network
Graph Algorithms
syncfast/clockwise
Clockwise is a meeting cost calculator designed to encourage more efficient meetings.
fulifeng/Temporal_Relational_Stock_Ranking
Code for paper "Temporal Relational Ranking for Stock Prediction"
microsoft/machine-learning-collection
:closed_book:machine learning tech collections at Microsoft and subsidiaries.
ChicagoHAI/human-centered-machine-learning
Schedule and Syllabus for Human-Centered Machine learning.
lucidrains/h-transformer-1d
Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning
JulesGM/ParlAI_SearchEngine
A search engine for ParlAI's BlenderBot project (and probably other ones as well)
uf-hobi-informatics-lab/ClinicalTransformerRelationExtraction
A project for developing transformer-based models for clinical relation extraction
google-research-datasets/QED
QED: A Framework and Dataset for Explanations in Question Answering
thiviyanT/torch-rgcn
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
awslabs/amazon-denseclus
Clustering for mixed-type data
migalkin/StarE
EMNLP 2020: Message Passing for Hyper-Relational Knowledge Graphs
kanyesthaker/qgqa-flashcards
Question Generation - Question Answering for Automatic Flashcards
nataliaburrey/Options_Trading_ML
Machine learning Options Trading Algorithm. API calls to collect the data from Yahoo Finance, Sentiment Investor, Finta. Encoding financial indicators. Building Logistic regression and Multinomial Machine Lerning models for evaluation. P2.
tusharsarkar3/TLA
A comprehensive tool for linguistic analysis of communities
jasonwei20/triplet-loss
lancopku/CGM
Code for IJCAI 2021 main conference paper "Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling"
metalearningacademy/tutorial