A curated list of awesome projects, resources, and tools for building stateful, multi-actor applications with LangGraph 🦜🕸️

Define, Prompt and Test MCP enabled Agents and Workflows

A catalog of design patterns when building generative AI applications

A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.

Tools for merging pretrained large language models.

A seamless matchmaking application that is programmed with Cohere Command R+, Stanford NLP DSPy framework, Weaviate Vector store and CrewAI agents.

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

Inference code for Mistral and Mixtral hacked up into original Llama implementation

Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.

Terraform script to create a data science project in OCI to fine tune and deploy a stable diffusion XL

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

comet llm support

Ongoing research training transformer language models at scale, including: BERT & GPT-2

The code and data for "StructGPT: A general framework for Large Language Model to Reason on Structured Data"

[NeurIPS 22] [AAAI 24] Recurrent Transformer-based long-context architecture.

Milestone Project: Heritage Housing Issues

My solution to the book A Collection of Data Science Take-Home Challenges

A collective list of free APIs

This repository contains example projects that you can use to get started with Layer.

Latex code for making neural networks diagrams

Machine Learning Engineer interview preparation. Brushing up Data Structures & Algorithms, System Design and SQL

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Most comprehensive list 📋 of interview questions 📘 of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.

Datasets, Transforms and Models specific to Computer Vision

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…