dicode04

Cookbook

The Data Engineering Cookbook

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

cloud-lakehouse-labs

Data-Engineering-with-AWS-2nd-edition

Data Engineering with AWS, 2nd edition - Published by Packt

aws-toolkit-vscode

Amazon Q, CodeCatalyst, Local Lambda debug, SAM/CFN syntax, ECS Terminal, AWS resources

jan

Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. Multiple engine support (llama.cpp, TensorRT-LLM)

EveryoneCanCode-US

Everyone Can Code Event (U.S. Edition)

agent-evaluation

A generative AI-powered framework for testing virtual agents.

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

python-data-engineering-resources

A handpicked collection of resources for Python developers in data engineering, machine learning, and AI. Inside, you'll discover a neatly arranged selection of frameworks, libraries, and tools crucial for machine learning, ETL, ORM, data/schema validation, database migration, and more, all focused on Python.

devfolio

👨‍🎓 An eye-catching developer Portfolio, Built on NextJS, GSAP, Tailwind and React

Data-Science-Projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

textql

Execute SQL against structured text like CSV or TSV

sqlcoder

SoTA LLM for converting natural language questions to SQL queries

93_Python_Data_Analytics_Projects

This repository contains all the data analytics projects that I've worked on in python.

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

ChatRTX

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM

GenerativeAIExamples

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

langchain

🦜🔗 Build context-aware reasoning applications

Awesome-Federated-Learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Portfolio-Collection

This repository contains collection of portfolio's .

generative-ai-on-aws

Generative AI on AWS

Blogs_Content

Contains Google Colab or Jupyter notebooks, as well as other associated files for my Medium blogposts.

New-Grad-Positions

A collection of New Grad full time roles in SWE, Quant, and PM.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

TopDeepLearning

A list of popular github projects related to deep learning

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

tutorials

PyTorch tutorials.

Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠