PacktPublishing / Building-Natural-Language-Pipelines

Related projects ⓘ

Alternatives and complementary repositories for Building-Natural-Language-Pipelines

• khuyentran1401 / hydra_demo
  Demo of Hydra
  ☆18Updated 2 years ago
• ashishpatel26 / MLFlow-End-to-End-Workshop-at-Chandigarh-University
  MLFlow End to End Workshop at Chandigarh University
  ☆11Updated last year
• PacktPublishing / The-Handbook-of-NLP-with-Gensim
  The Handbook of NLP with Gensim, published by Packt
  ☆14Updated 3 months ago
• Paulescu / testing-llms-in-the-real-world
  Test LLMs automatically with Giskard and CI/CD
  ☆28Updated 3 months ago
• PacktPublishing / Streamlit-Cookbook
  Streamlit Cookbook, published by Packt
  ☆12Updated 2 months ago
• VincentGranville / Stochastic-Processes
  My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeratio…
  ☆36Updated last year
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆26Updated 2 years ago
• jaumpedro214 / ml-streming-kafka-cdc
  Deploying a Machine Learning model streaming application with Apache Kafka
  ☆10Updated 2 years ago
• memgraph / memgraph-academy
  ☆29Updated 2 years ago
• JINO-ROHIT / Tune-RAG-Parameters-With-LlamaIndex
  ☆12Updated 4 months ago
• ashishpatel26 / MLflow_End_to_End_Example
  MLflow is Open source platform for the machine learning lifecycle so here you can learn MLflow End to End Example with Prediction.
  ☆13Updated 2 years ago
• VincentGranville / Statistical-Optimization
  Statistical optimization for AI and machine learning
  ☆45Updated last month
• PacktPublishing / Vector-Search-for-Practitioners-with-Elastic
  Vector Search for Practitioners with Elastic, published by Packt
  ☆24Updated 10 months ago
• kurtispykes / twitter-sentiment-analysis
  Creating a Gradio user interface to predict the sentiment of a tweet
  ☆12Updated 2 years ago
• Logisx / AI-Senior
  AI Assistant, an end-to-end LLMOps project, fine-tuned to provide support for coding and design questions based on the latest trends in t…
  ☆16Updated 10 months ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆39Updated last year
• vaibhavsatpathy / psAI-clOps
  End to End MLOps
  ☆10Updated 3 years ago
• evidentlyai / community-examples
  Examples of using Evidently to evaluate, test and monitor ML models.
  ☆18Updated this week
• rohan-paul / Deep-Learning-Paper-Implementation
  From Scratch Implementation of some popular Deep Learning Papers with PyTorch and Tensorflow
  ☆14Updated last year
• kennethleungty / Wikipedia-Scraping-with-LLM-Agents
  Scraping Wikipedia by combining LangChain's agents and tools with OpenAI's LLMs and function calling
  ☆26Updated 10 months ago
• aryan-jadon / Evaluation-Metrics-for-Recommendation-Systems
  This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…
  ☆16Updated 10 months ago
• Vedant-S / MLOps-Project
  Projects completed under LinuxWorld Informatics Ltd. - MLOps Training.
  ☆12Updated 4 years ago
• JINO-ROHIT / fastapi_with_celery_redis
  serving a torch model using Celery, Redis and RabbitMQ to serve users asynchronously
  ☆19Updated 10 months ago
• duzgunilaslan / Deploy-ML-Model-FastAPI-MLFlow-MINIO-MySQL
  This repository about how to deploy machine learning model end serving with FastAPI and using MLFlow-MINIO
  ☆16Updated last year
• ashishpatel26 / Tensorflow_object_detection_api_install_in_single_line
  Tensorflow object detection api in single line
  ☆12Updated 2 years ago
• wjbmattingly / youtube-florence-table
  Table detection with Florence.
  ☆13Updated 4 months ago
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆22Updated last year
• pycaret / examples
  Example Notebooks contributed by pycaret community!
  ☆35Updated last year
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆15Updated last year
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆31Updated last year