tripatheea

tripatheea's Stars

• alandefreitas/matplotplusplus

  Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

  Language:C++4.2k325

• yokoffing/filterlists

  Collection of blocklists to fill in the gaps

  1.5k39

• yokoffing/Betterfox

  Firefox user.js for speed, privacy, and security. Your favorite browser, but better.

  Language:JavaScript5.5k141

• forresto/svg-to-cnc

  Compiles SVG shapes and transforms for CNC software down to basic paths. Useful for generative SVG to Cricut.

  Language:JavaScript251

• mdtopham/inkscape_cricut

  Inkscape Cricut pre-processor Extension

  Language:Python121

• seishuku/TeensyCNC

  Simple CNC setup for hacking my Wife's Cricut Mini

  Language:C7715

• neutraltone/awesome-stock-resources

  :city_sunrise: A collection of links for free stock photography, video and Illustration websites

  13k771

• goabstract/Awesome-Design-Tools

  The best design tools and plugins for everything 👉

  Language:JavaScript33.5k2.1k

• codepath/android_guides

  Extensive Open-Source Guides for Android Developers

  28.3k6.4k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python133k26.5k

• lmstudio-ai/lms

  LM Studio CLI

  Language:TypeScript1.5k118

• oobabooga/text-generation-webui

  A Gradio web UI for Large Language Models.

  Language:Python39.8k5.2k

• kojix2/YouPlot

  A command line tool that draw plots on the terminal.

  Language:Ruby51

• cybergeekgyan/Quant-Developers-Resources

  Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms and HFTs

  9514

• quantprep/quantnewgrad2022

  43026

• SimplifyJobs/New-Grad-Positions

  A collection of full time roles in SWE, Quant, and PM for new grads.

  11.3k1k

• domoritz/arrow-tools

  A collection of handy CLI tools to convert CSV and JSON to Apache Arrow and Parquet

  Language:Rust1518

• bgrins/devtools-snippets

  A collection of helpful snippets to use inside of browser devtools

  Language:HTML3k369

• custom-cards/decluttering-card

  🧹 Declutter your lovelace configuration with the help of this card

  Language:TypeScript37230

• rougier/numpy-100

  100 numpy exercises (with solutions)

  Language:Python12k5.7k

• rishavnandi/ansible_homelab

  Ansible playbooks to quickly setup a homelab. The playbook will update the system, install Docker, and then deploy the Docker containers.

  Language:HCL30330

• nleiva/ansible-home

  Collection of playbooks I run in my personal home-lab.

  Language:Jinja91

• ad0x99/play-with-data-structures-and-algorithms

  Data structure and Algorithms with JavaScript/Rust Playground

  Language:JavaScript1

• northwesternfintech/ISA-Interview-Problems-Fall-2023

  Language:JavaScript1

• northwesternfintech/2025QuantInternships

  Public quant internship repository, maintained by NUFT but available for everyone.

  1.2k86

• ArvindSRaman/Credit-Card-Fraud-Project-1

  ### Data Set Information: This dataset is taken from a research explained here. The goal of the research is to help the auditors by building a classification model that can predict the fraudulent firm on the basis the present and historical risk factors. The information about the sectors and the counts of firms are listed respectively as Irrigation (114), Public Health (77), Buildings and Roads (82), Forest (70), Corporate (47), Animal Husbandry (95), Communication (1), Electrical (4), Land (5), Science and Technology (3), Tourism (1), Fisheries (41), Industries (37), Agriculture (200). There are two csv files to present data. Please merge these two datasets into one dataframe. All the steps should be done in Python. Please don't make any changes in csv files. Consider ``Audit_Risk`` as target columns for regression tasks, and ``Risk`` as the target column for classification tasks. ### Attribute Information: Many risk factors are examined from various areas like past records of audit office, audit-paras, environmental conditions reports, firm reputation summary, on-going issues report, profit-value records, loss-value records, follow-up reports etc. After in-depth interview with the auditors, important risk factors are evaluated and their probability of existence is calculated from the present and past records. ### Relevant Papers: Hooda, Nishtha, Seema Bawa, and Prashant Singh Rana. 'Fraudulent Firm Classification: A Case Study of an External Audit.' Applied Artificial Intelligence 32.1 (2018): 48-64.

  Language:Jupyter Notebook13

• Cyanjiner/ds-job-prep-notes

  This repo is currently for my personal use of preparing for data science summer intern (2023). Feel free to check out the deployed website or use this template for your personal learning use. Topics covered will include: Review of statistics, probability, A/B testing, ML & NLP models / techniques, SQL, and some common asked DS job interview questions.

  1

• wenxinjiang2002/Brainteasers-for-fun

  While I preparing Quant interviews and OAs, I spend a lot of time on the 'Green Book' which has a lot of tricky probability problems and brainteasers. I want to write the problems in code to help me better understand the theorems (or just for fun).

  Language:Jupyter Notebook1

• pro-grepper-org/pro-grepper-website

  A webiste for pro grepper where user can paste problem statement and they will get the top n companies along with their probabilities of being asked in their interviews.

  Language:EJS1

• jhonatangopereira/DataLemur-DataScience-Interview-Challenges

  This repository offers a diverse collection of solutions to interview problems found on the DataLemur website. Tailored for data science and analytics interviews, this repository provides concise and well-documented solutions in key domains such as SQL, statistics, Python, probability, and machine learning.

  1