chandrad

chandrad's Stars

• hhursev/recipe-scrapers

  Python package for scraping recipes data

  Language:Python1.8k535

• hamzafarooq/advanced-llms-course

  Code files for advanced LLM Course

  Language:Jupyter Notebook17929

• Vasatika/Analysing-SDOH-age-income-crime-W.R.T-Health-Insurance

  Language:Jupyter Notebook2

• zhangliye/TrafficAssignment

  Traffic Assignment Toolbox (Julia)

  Language:Julia11

• yourh/AttentionXML

  Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"

  Language:Python24541

• Mixtape-Sessions/Instrumental-Variables

  Instrumental Variables Mixtape Track taught by Peter Hull

  Language:TeX96100

• mathiasuy/Soluciones-Klenberg

  Algorithm Design (Kleinberg Tardos 2005) - Solutions

  672163

• janettik/tmle_example

  Short simulated example comparing TMLE with glm under randomized and non-randomized treatment.

  Language:R1

• friend1ws/pmsignature

  R package for extracting mutation signatures from a list of somatic mutations

  Language:R3715

• mukeshtiwari/Thesis

  Repository for my Phd thesis. Finally, it's happening :)

  Language:TeX3

• itaysason/Mix-MMM

  Language:Python22

• openopt/chop

  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

  Language:Python7614

• ibrahimjelliti/Deeplearning.ai-Natural-Language-Processing-Specialization

  This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

  Language:Jupyter Notebook725493

• trevorcampbell/bayesian-coresets

  Automated Scalable Bayesian Inference

  Language:Python13030

• megacell/python-traffic-assignment

  towards a working Frank-Wolfe implementation of the equilibrium assignment in Python

  Language:Python5017

• rickecon/StructEst_W17

  MACS 40200: Structural Estimation

  Language:Jupyter Notebook3445

• chkwon/TrafficAssignment.jl

  Julia package for finding traffic user equilibrium flow

  Language:Julia4015

• prameshk/Traffic-Assignment

  This program solves the user equilibrium and stochastic user equilibrium for the city network

  Language:Python12140

• lexfridman/mit-deep-learning

  Tutorials, assignments, and competitions for MIT Deep Learning related courses.

  Language:Jupyter Notebook10.2k2.2k

• ChicagoBoothAnalytics/site

  Chicago Booth Analytics website / wiki

  Language:HTML258

• bstabler/TransportationNetworks

  Transportation Networks for Research

  Language:Jupyter Notebook791452

• timothyb0912/pylogit

  A python package for estimating conditional logit models.

  Language:Python187104

• QuentinAndre/Guadagni-Little-1983-Python

  Recreation of a dataset similar to Guadagni and Little 1983, and estimation of the parameters using a custom implementation of mixed logit

  Language:HTML89

• jeffgortmaker/pyblp

  BLP Demand Estimation with Python

  Language:Python24183

• JohnSnowLabs/spark-nlp

  State of the Art Natural Language Processing

  Language:Scala3.9k712

• joonro/BLP-Python

  BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)

  Language:Python3636

• jstac/econometrics

  Code and notebooks for Econometric Theory

  Language:Jupyter Notebook11069

• eriklindernoren/ML-From-Scratch

  Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

  Language:Python24k4.6k

• dougkelly/TopicModeling_HilaryClintonEmails

  GalvanizeU Machine Learning & Natural Language Processing Final Project. Explored topic modeling approaches in Python to summarize emails by latent foreign policy topics using Non-Negative Matrix Factorization and LDA approaches in Sklearn

  Language:Jupyter Notebook1312

• ufora/ufora

  Compiled, automatically parallel Python for data science

  Language:Python49129