A professional, web-based text-to-speech converter powered by OpenAI's TTS API.

Give you decision-ready references for the most common AI engineering problems

Comprehensive ML pipeline for insurance customer churn prediction with XGBoost, FastAPI, and Streamlit

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

Production-grade Claude Code configuration: skills, agents, hooks, rules, and permissions working as a system.

Bulding a Gpt model to understand

Project NER

A robust XGBoost-based PII (Personally Identifiable Information) validation classifier for Chile, Uruguay, Colombia, and Brazil. This post-processing classifier validates entities detected by NER models to reduce false positives.

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The official Python SDK for Z.ai's large model open interface, making it easier for developers to call Z.ai's open APIs.

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Multilingual Sentence & Image Embeddings with BERT

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

🏅 Collection of Kaggle Solutions and Ideas 🏅

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Lighter web automation with Python

A python wrapper for Tavily search API

Seamlessly integrate LLMs into scikit-learn.

A new DSL and server for AI agents and multi-step tasks

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

aider is AI pair programming in your terminal

Biostatistics resources : reading list, RMarkdown notebooks, and more!

Time series forecasting with scikit-learn models

Code for the manim-generated scenes used in 3blue1brown videos

Repositorio con notas y apuntes de data science enfocados tanto en teoría como en implementación mediante el uso del lenguaje Python. Implementaciones mayores enfocadas mayormente a problemas mineros y metalúrgicos.

Repositorio de clases realizadas con los alumnos de la carrera de Ingeniería Civil en Minería de la Universidad del Desarrollo

🎓 Sharing machine learning course / lecture notes.

Notes taken from Google Machine Learning Course provided to public for practice & correction.

🎓 Path to a free self-taught education in Computer Science!

🚀 Practical and document place for DevOps toolchain

Visualize Different Text Splitting Methods

Learn System Design concepts and prepare for interviews using free resources.

Pyomo respository provides a comprehensive library of solved models in Supply chain management

DeepFaceLab is the leading software for creating deepfakes.

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Notebooks for the live trainining about llm app development

Drag & drop UI to build your customized LLM flow

Collection of useful machine learning codes and snippets (originally intended for my personal use)

AI Observability & Evaluation

A framework for few-shot evaluation of language models.

YaFSDP: Yet another Fully Sharded Data Parallel

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

This repository contains most of the python codes that is presented in my youtube videos.

Robust Speech Recognition via Large-Scale Weak Supervision

Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

LLM Zoomcamp - a free online course about building a Q&A system

OpenUI let's you describe UI using your imagination, then see it rendered live.

PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration.

Repositorio de MVP para herramientas de IA responsable

Scikit-Learn API wrapper for Keras.

The LLM Evaluation Framework

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Algorithms and data structures implemented in Golang with explanations and links to further readings

Algorithms and Data Structures implemented in Go for beginners, following best practices.

Examples and guides for using the OpenAI API

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

🐍 The official Python client library for Google's discovery based APIs.

Inference code for LLaMA models

The website content for explained.ai

📺 Discover the latest machine learning / AI courses on YouTube.

Browser automation framework for testing with Selenium, Python, and pytest. Includes a Dashboard, a Recorder for generating tests, Undetected Mode, and more.

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Next-gen browser and mobile automation test framework for Node.js

🍭 Soothing pastel theme for iTerm2

Practical Full-Stack Machine Learning

Code examples for my Write Better Python Code series on YouTube.

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A Python vector database you just need - no more, no less.

Jupyter notebooks for the Natural Language Processing with Transformers book

What the f*ck Python? 😱

All Algorithms implemented in Python

A collection of design patterns/idioms in Python

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Python machine learning applications in image processing, recommender system, matrix completion,

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

An open-source, low-code machine learning library in Python

A unified framework for machine learning with time series

The time series toolkit for python.

Microsoft Power BI - The Complete Masterclass [2023 EDITION], by Packt Publishing

Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

Understanding Deep Learning - Simon J.D. Prince

Data Science Using Python

Books for Data Science

Lime: Explaining the predictions of any machine learning classifier

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List of Computer Science courses with video lectures.

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🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

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Area-weighted venn-diagrams for Python/matplotlib

ok-ru-dl

The solutions of all SQL hackerrank challenges using MySQL environment

Hackerrank Problem solving solutions in Python

Solutions to HackerRank problems

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