Paulo Cysne's Projects
Feature Engineering book by Sinan Ozdemir code
This project enhances the LLaMA-2 model using Quantized Low-Rank Adaptation (QLoRA) and other parameter-efficient fine-tuning techniques to optimize its performance for specific NLP tasks. The improved model is demonstrated through a Streamlit application, showcasing its capabilities in real-time interactive settings.
data cleaning and curation for unstructured text
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
Generalist model for NER (Extract any entity types from texts)
MLOps Hands-on Guide: From Training to Deployment and Monitoring: A day long workshop about MLOps
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Julia Jupyter/Colab Notebooks
A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.
Code for Conformal Counterfactual Inference under Hidden Confounding (KDD’24)
A lightweight library for pre-processing images for pre-trained keras models
Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
Deploying a Keras model with KServe (formerly KFServing) and EKS
Deployng a Keras model with TF-Serving and EKS
🦜🔗 Build context-aware reasoning applications
Source to source compiler for PyTorch. It makes PyTorch programs faster on single accelerators and distributed.
Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
llama3 implementation one matrix multiplication at a time
Parse files for optimal RAG
LLM Finetuning with peft
LLM Prompting Engineering Simplified Book
LLM training in simple, raw C/CUDA
LLM101n: Let's build a Storyteller
To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
Implementing a ChatGPT-like LLM from scratch, step by step
LLMs in Finance - Generative AI - AI Agents
Official repo for "LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs".
A resource list for causality in statistics, data science and physics
Developed an end-to-end ML system on Azure to predict loan defaults, leveraging advanced data preprocessing, feature engineering, and machine learning models to optimize accuracy. This project includes a comprehensive suite of tools and techniques for robust financial risk assessment, deployed to enhance decision-making for high-risk exposures.
Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖