ArmanGuptaIISC

ArmanGuptaIISC's Stars

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python190k45k

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python272k45.8k

• soulmachine/machine-learning-cheat-sheet

  Classical equations and diagrams in machine learning

  Language:TeX7.3k1.3k

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  44.9k10.5k

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  9.3k1.5k

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook13.1k4.2k

• krishnadey30/LeetCode-Questions-CompanyWise

  Contains Company Wise Questions sorted based on Frequency and all time

  10.6k3.5k

• evgeniavolkova/kagglehomecredit2024

  Home Credit Kaggle Competition 2024

  Language:Python72

• tnbar/awesome-tensorial-neural-networks

  A thoroughly investigated survey for tensorial neural networks.

  10713

• XiaoxinHe/iclr2024_learning_on_graphs

  List of papers on ICLR 2024

  Language:Jupyter Notebook474

• XiaoxiaoMa-MQ/Awesome-Deep-Graph-Anomaly-Detection

  Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

  32248

• ellisalicante/GraphRewiring-Tutorial

  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications in Fairness"

  Language:Jupyter Notebook533

• SherylHYX/pytorch_geometric_signed_directed

  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

  Language:Python12216

• safe-graph/DGFraud

  A Deep Graph-based Toolbox for Fraud Detection

  Language:Python687159

• graphdeeplearning/benchmarking-gnns

  Repository for benchmarking graph neural networks

  Language:Jupyter Notebook2.5k452

• M-3LAB/awesome-industrial-anomaly-detection

  Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

  1.5k138

• safe-graph/graph-fraud-detection-papers

  A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

  1.4k251

• shenyangHuang/TGB

  Temporal Graph Benchmark project repo

  Language:Python17333

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.7k773

• ashishpatel26/LLM-Finetuning

  LLM Finetuning with peft

  Language:Jupyter Notebook2.1k584

• SkalskiP/courses

  This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

  Language:Python5.3k480

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.2k296

• xtekky/gpt4free

  The official gpt4free repository | various collection of powerful language models

  Language:Python60.2k13.2k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.6k2.2k

• wangshusen/DeepLearning

  Language:TeX3.7k822

• anujdutt9/Feature-Selection-for-Machine-Learning

  Methods with examples for Feature Selection during Pre-processing in Machine Learning.

  Language:Jupyter Notebook364163

• christianversloot/machine-learning-articles

  🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

  3.4k723

• campusx-official/ML-Roadmap-for-2022

  A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months

  788421

• borisdayma/dalle-mini

  DALL·E Mini - Generate images from a text prompt

  Language:Python14.8k1.2k

• maziarraissi/Applied-Deep-Learning

  Applied Deep Learning Course

  3.1k659