aviolante's Stars
NVIDIA/NeMo
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
openai/openai-cookbook
Examples and guides for using the OpenAI API
databricks/Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
NVIDIA/spark-rapids-tools
User tools for Spark RAPIDS
NVIDIA/TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
ibraheemdev/modern-unix
A collection of modern/faster/saner alternatives to common unix commands.
Ryota-Kawamura/Generative-AI-with-LLMs
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
Building-ML-Pipelines/building-machine-learning-pipelines
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
iryna-kondr/scikit-llm
Seamlessly integrate LLMs into scikit-learn.
snowplow/snowplow
The leader in Next-Generation Customer Data Infrastructure
ploomber/ploomber
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
facebookexperimental/Robyn
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
pycaret/pycaret
An open-source, low-code machine learning library in Python
DP6/Marketing-Attribution-Models
Python Class created to address problems regarding Digital Marketing Attribution.
orico/www.mlcompendium.com
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
druv5319/Sneaks-API
A StockX, FlightClub, Goat, and Stadium Goods API all in one. This sneaker API allows users to search sneakers and track and compare prices while providing additional info such as product links and images
recommenders-team/recommenders
Best Practices on Recommendation Systems
project-codeflare/codeflare
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
aws/aws-sdk-pandas
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
chaseycodes/StockX-Scraper
StockX Web Scraping Program
rapidsai/cuml
cuML - RAPIDS Machine Learning Library
kai-niu/watson-transformer
consume Watson API in scale
TheAlgorithms/Python
All Algorithms implemented in Python
bleonardb3/DS_POT_04-30-2020
changwookjun/StudyBook
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)