tripatheea's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
oobabooga/text-generation-webui
A Gradio web UI for Large Language Models with support for multiple inference backends.
goabstract/Awesome-Design-Tools
The best design tools and plugins for everything 👉
codepath/android_guides
Extensive Open-Source Guides for Android Developers
neutraltone/awesome-stock-resources
:city_sunrise: A collection of links for free stock photography, video and Illustration websites
rougier/numpy-100
100 numpy exercises (with solutions)
SimplifyJobs/New-Grad-Positions
A collection of full time roles in SWE, Quant, and PM for new grads.
yokoffing/Betterfox
Firefox user.js for speed, privacy, and security. Your favorite browser, but better.
alandefreitas/matplotplusplus
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
bgrins/devtools-snippets
A collection of helpful snippets to use inside of browser devtools
lmstudio-ai/lms
👾 LM Studio CLI
yokoffing/filterlists
Collection of blocklists to fill in the gaps
northwesternfintech/2025QuantInternships
Public quant internship repository, maintained by NUFT but available for everyone.
quantprep/quantnewgrad2022
custom-cards/decluttering-card
🧹 Declutter your lovelace configuration with the help of this card
rishavnandi/ansible_homelab
Ansible playbooks to quickly setup a homelab. The playbook will update the system, install Docker, and then deploy the Docker containers.
cybergeekgyan/Quant-Developers-Resources
Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms and HFTs
domoritz/arrow-tools
A collection of handy CLI tools to convert CSV and JSON to Apache Arrow and Parquet
seishuku/TeensyCNC
Simple CNC setup for hacking my Wife's Cricut Mini
forresto/svg-to-cnc
Compiles SVG shapes and transforms for CNC software down to basic paths. Useful for generative SVG to Cricut.
mdtopham/inkscape_cricut
Inkscape Cricut pre-processor Extension
nleiva/ansible-home
Collection of playbooks I run in my personal home-lab.
kojix2/YouPlot
A command line tool that draw plots on the terminal.
ad0x99/play-with-data-structures-and-algorithms
Data structure and Algorithms with JavaScript/Rust Playground
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.
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.
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.
northwesternfintech/ISA-Interview-Problems-Fall-2023
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.
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).