RAGChecker: A Fine-grained Framework For Diagnosing RAG

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Ultralytics YOLO11 🚀

A curated list of gradient boosting research papers with implementations.

A collection of research papers on decision, classification and regression trees with implementations.

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

Here I will be pushing all my code from the #100DaysOfCode course that I am taking on Udemy.

Torturing neural networks by forcing them to learn the Mandelbrot set.

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

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

An Open Source Machine Learning Framework for Everyone

TensorFlow 101: Introduction to Deep Learning

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

Minimal JS image classifiers

The Summer of Machine Learning (SoM) is an integral component of the BSoC open-source initiative, designed to introduce contributors to the dynamic field of AI and ML.