RyanJTalbot

RyanJTalbot's Stars

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38.4k2.1k557.3k

• CMU-Perceptual-Computing-Lab/openpose

  OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

  Language:C++31.4k9242k7.9k

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript28.5k3041.2k2.8k

• iperov/DeepFaceLive

  Real-time face swap for PC streaming or video calls

  Language:Python27k38214488

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.5k2k264.5k

• qeeqbox/social-analyzer

  API, CLI, and Web App for analyzing and finding a person's profile in 1000 social media \ websites

  Language:JavaScript11.8k36072924

• JerBouma/FinanceDatabase

  This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

  Language:Jupyter Notebook3.6k8941402

• georgezouq/awesome-ai-in-finance

  🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

  3.6k1233429

• JerBouma/FinanceToolkit

  Transparent and Efficient Financial Analysis

  Language:Python3k6788361

• AakashKumarNain/annotated_research_papers

  This repo contains annotated research papers that I found really good and useful

  2.7k2115261

• young-geng/EasyLM

  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

  Language:Python2.4k4388258

• Azure/azureml-examples

  Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

  Language:Jupyter Notebook1.8k2.6k2941.4k

• IBM/Project_CodeNet

  This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

  Language:Python1.6k5532193

• fmilthaler/FinQuant

  A program for financial portfolio management, analysis and optimisation.

  Language:Python1.4k3349201

• OpenGeoscience/geonotebook

  A Jupyter notebook extension for geospatial visualization and analysis

  Language:Python1.1k6783142

• AmoDinho/datacamp-python-data-science-track

  All the slides, accompanying code and exercises all stored in this repo. 🎈

  Language:Python798205527

• tuangauss/DataScienceProjects

  The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

  Language:Jupyter Notebook690305194

• salimt/Courses-

  Answers for Quizzes & Assignments that I have taken

  Language:Jupyter Notebook671519698

• probberechts/soccerdata

  ⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.

  Language:Python64014161109

• njanakiev/openstreetmap-heatmap

  Visualization of OpenStreetMap Data with Blender and Python

  Language:Python38526454

• oseymour/ScraperFC

  Python package for scraping soccer data from a variety of sources

  Language:Python24874154

• ClickHouse/adsb.exposed

  Interactive visualization and analytics on ADS-B data with ClickHouse

  Language:HTML2394218

• ML-KULeuven/soccer_xg

  A Python package for training and analyzing expected goals (xG) models in soccer.

  Language:Jupyter Notebook17318321

• keirp/OpenWebMath

  Language:XSLT121348

• TomDecroos/matplotsoccer

  Package to visualize soccer data

  Language:Jupyter Notebook1214315

• rnckp/awesome-ogd-switzerland

  Awesome Open Government Data ressoures related to Switzerland. A manually curated list of OGD portals, websites, APIs, tools and other related resources in Switzerland. Relevant links to international websites are listed as well.

  90785

• archd3sai/Instacart-Market-Basket-Analysis

  The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.

  Language:Jupyter Notebook741234

• probberechts/d3-soccer

  📊⚽️ A D3 plugin for visualizing event stream soccer data.

  Language:JavaScript44216

• njanakiev/openstreetmap-data-science

  Data Science with OpenStreetMap

  Language:Jupyter Notebook413010

• RyanJTalbot/MSDS

  Master of Science degree in Data Science - University of Colorado Boulder

  Language:Jupyter Notebook404127