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7 results for “wise”
RankRepository7 daysStars24h gainScore
01

nykooi1/vibe-wise

Python#953 overall

A Claude Code / Codex plugin that helps you learn how to build while AI writes the code.

7 daysStars4.3k24h gain+21Score12.5
02

meta-pytorch/MSLK

Python#4506 overall

MSLK (Meta Superintelligence Labs Kernels) is a collection of PyTorch GPU operator libraries that are designed and optimized for GenAI training and inference, such as FP8 row-wise quantization and collective communications.

7 daysStars16624h gain0Score0.3
03

snehasishroy/leetcode-companywise-interview-questions

Java#27429 overall

Contains latest company wise questions of LeetCode as of July 2026.

7 daysStars7.9k24h gain-Score0.0
04

cu-sanjay/Amazon-ML-Summer-School-2026

#31919 overall

Learn Machine Learning with Amazon ML Summer School Program 2026. Access session summaries, previous year MCQs, programming questions, and official test material. Practice module-wise coding tasks and build a strong foundation for interviews and real-world applications.

7 daysStars49024h gain-Score0.0
05

KalyanKS-NLP/llm-engineer-toolkit

#34034 overall

A curated list of 120+ LLM libraries category wise.

7 daysStars10.9k24h gain-Score0.0
06

Gaurav14cs17/DSA

HTML#37821 overall

A well-organized repository covering core Data Structures and Algorithms, from fundamentals to advanced topics. It’s designed for systematic learning, coding interview preparation, and reference implementations, with topic-wise structure and clean, practical solutions

7 daysStars20024h gain-Score0.0
07

pallavi-shekhar/ai-engineering-interview-questions-company-wise

Markdown#47758 overall

Your Cheat Sheet For AI Engineering Interviews at Top AI Companies - Questions and Answers.

7 daysStars1.7k24h gain-Score0.0