- San Francisco, CA
- @siddgood
- in/siddkumaran
Stars
Model Context Protocol Servers
A Lightwei 10000 ght Recommendation System
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
The fastai book, published as Jupyter Notebooks
Automatically push your LeetCode solutions to your GitHub repository
Automatically sync your leetcode solutions to your github account - top 5 trending GitHub repository
Anki flashcards for the whole set of LeetCode problems + NeetCode150 as a subdeck.
DSPy: The framework for programming—not prompting—language models
siddgood / amazon-sagemaker-pipelines-mxnet-image-classification
Forked from aws-samples/amazon-sagemaker-pipelines-mxnet-image-classificationBuild an MXNet image classification model via SageMaker Pipelines
siddgood / amazon-athena-queries-via-aws-lambda-cdk
Forked from aws-samples/amazon-athena-queries-via-aws-lambda-cdkHigh-Resolution Image Synthesis with Latent Diffusion Models
Build an MXNet image classification model via SageMaker Pipelines
This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.
Principles of Writing Consistent, Idiomatic JavaScript
Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
A pattern-based approach for learning technical interview questions
💯 Curated coding interview preparation materials for busy software engineers
Starter kit for new players of Terminal. Contains starter-algo and a basic CLI for running/debugging algo's locally.
🎤 Building a content-based podcast recommender system using NLP
🎶 Predicting Billboard's Year-End Hot 100 Songs using audio features from Spotify and lyrics from Musixmatch