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PWSkills Data Science Masters assignment - Utkarsh Gaikwad
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
Translates native shader languages into CrossGL universal shader language and vice versa.
Build resilient language agents as graphs.
Super Repository for Coding Interview Preperation
All Algorithms implemented in Python
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Classical equations and diagrams in machine learning
Transformer: PyTorch Implementation of "Attention Is All You Need"
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
llama3 implementation one matrix multiplication at a time
A game theoretic approach to explain the output of any machine learning model.
Tutorials and talks held from PyData London 2019
A library of sklearn compatible categorical variable encoders
Tensors and Dynamic neural networks in Python with strong GPU acceleration
🦜🔗 Build context-aware reasoning applications
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
A collection of awesome readme templates to display on your github profile.
Solidity, the Smart Contract Programming Language
Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http://scikit-learn.org/stable/)
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
A library for training and deploying machine learning models on Amazon SageMaker