Bag-of-documents model for product search and more!

Learn it. Build it. Ship it for others.

This is a repo with links to everything you'd ever want to learn about data engineering

This is a repo with links to everything you'd ever want to learn about data engineering

Leveraging passage embeddings for efficient listwise reranking with large language models.

LLM101n: Let's build a Storyteller

Vane is an AI-powered answering engine.

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼

RankFormer: Listwise Learning-to-Rank Using Listwide Labels (KDD 2023).

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Learn ML engineering for free in 4 months! Register here 👇🏼

Transformer-based Realtime User Action Model for Recommendation at Pinterest

Library for Multi-objective optimization in Gradient Boosted Trees

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

Pytorch implementation of convolutional neural network visualization techniques

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

The 3rd edition of course.fast.ai

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset

Implementation of Siamese-Networks for One Shot Learning in TensorFlow 2.0

Implementation of Siamese Neural Networks for One-shot Image Recognition

Working with and analyzing Wikipedia Data

Minimal PyTorch implementation of YOLOv3

PyBites Code Challenges

🍎Jalpc -- A flexible Jekyll theme, 3 steps to build your website.

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas lik…

A visual introduction to probability and statistics.