devashish2002

devashish2002's Stars

• IBM/EvolveGCN

  Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

  Language:Python523163

• LibCity/Bigscity-LibCity

  LibCity: An Open Library for Urban Spatial-temporal Data Mining

  Language:Python923168

• G-Taxonomy-Workgroup/GPSE

  Graph Positional and Structural Encoder

  Language:Python423

• rampasek/GraphGPS

  Recipe for a General, Powerful, Scalable Graph Transformer

  Language:Python665121

• Stability-AI/generative-models

  Generative Models by Stability AI

  Language:Python24.6k2.7k

• xbresson/CS6208_2023

  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023

  Language:Jupyter Notebook31148

• nateswill/WheresGeorge

  Analysis of U.S. paper currency movement with diffusion and Brownian Motion.

  1

• handcraftsman/GeneticAlgorithmsWithPython

  source code from the book Genetic Algorithms with Python by Clinton Sheppard

  Language:Python1.2k446

• ydataai/ydata-profiling

  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  Language:Python12.5k1.7k

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.1k935

• facebookresearch/dlrm

  An implementation of a deep learning recommendation model (DLRM)

  Language:Python3.8k837

• algofairness/fairness-comparison

  Comparing fairness-aware machine learning techniques.

  Language:HTML15950

• gboeing/osmnx-examples

  Gallery of OSMnx tutorials, usage examples, and feature demonstations.

  Language:Jupyter Notebook1.6k524

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.7k4k

• cornellius-gp/gpytorch

  A highly efficient implementation of Gaussian Processes in PyTorch

  Language:Python3.6k562

• mbilalzafar/fair-classification

  Python code for training fair logistic regression classifiers.

  Language:Python18971

• anishathalye/mathematics-of-deep-learning

  The Mathematics of Deep Learning, SIPB IAP 2018

  Language:Jupyter Notebook7425

• pytorch/botorch

  Bayesian optimization in PyTorch

  Language:Jupyter Notebook3.1k401

• tlkh/text-emotion-classification

  Archived - not answering issues

  Language:Jupyter Notebook19980

• datasciencescoop/Data-Science--Cheat-Sheet

  Cheat Sheets

  Language:TeX18.3k

• facebookresearch/Detectron

  FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

  Language:Python26.3k5.5k

• caesar0301/movr

  Human mobility data (in form of <x,y,t>) analysis and visualization in R.

  Language:R124

• shaypal5/awesome-twitter-data

  A list of Twitter datasets and related resources.

  971125

• Atcold/NYU-DLSP20

  NYU Deep Learning Spring 2020

  Language:Jupyter Notebook6.7k2.2k

• geopy/geopy

  Geocoding library for Python.

  Language:Python4.5k645

• michaelmathen/SampleScan

  This provides several algorithms for finding approximate anomalous regions.

  Language:C++2

• keplergl/kepler.gl

  Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

  Language:TypeScript10.4k1.7k

• m-wrzr/populartimes

  Language:Python835168

• Jefferson-Henrique/GetOldTweets-python

  A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.

  Language:Python1.3k807

• toddwschneider/nyc-taxi-data

  Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database

  Language:R2k568