maheshwaride Goto Github PK

aiml

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

bert

TensorFlow code and pre-trained models for BERT

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

deeplake

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

graph-neural-network-course

Free hands-on course about Graph Neural Networks using PyTorch Geometric.

graph-rag

Graph based retrieval + GenAI = Better RAG in production

langchain-masterclass---build-15-openai-and-llama-2-llm-apps-using-python

llama_md

Inference code for LLaMA models

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

llm-engineering-crash-course

LLM Engineering CrashCourse

llm-finetuning

LLM Finetuning with peft

mergekit

Tools for merging pretrained large language models.

mindsdb

MindsDB is a Server for Artificial Intelligence Logic. Enabling developers to ship to production AI powered projects (from the latest LLMs, vector operations, state of the art time-series forecasting to Machine Learning) in a fast and scalable way.

spacy

💫 Industrial-strength Natural Language Processing (NLP) in Python

text-to-video-synthesis-colab

Text To Video Synthesis Colab

the-industrialization-of-nlp-to-large-language-model-engineering

From Research to Production: The Industrialization of NLP to Large Language Model Engineering

tools-to-design-or-visualize-architecture-of-neural-network

Tools to Design or Visualize Architecture of Neural Network

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

us-airlines-delay-analysis-2023

The objective is to analyze flight delays in the United States. Data from airlines, airports, and runways will be collected and processed. Machine learning models will be built using logistic regression, decision trees, and XGB classifiers. Visualizations will be created in Tableau, and Excel dashboards and SQL queries will be used for analysis.