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Harvard University
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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
All Algorithms implemented in Python
GSRS3 repository with worked examples for deploying microservices.
JavaScript app for displaying annotated network graphs based on data from LittleSis
(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaSc…
The Select Component for React.js
Publication-ready NN-architecture schematics.
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Open source platform for the deep learning development lifecycle
A Visual Analysis Tool to Explore Learned Representations in Transformers Models
Taming Transformers for High-Resolution Image Synthesis
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807
Latex code for making neural networks diagrams
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
VIP cheatsheets for Stanford's CS 230 Deep Learning
Layers Outputs and Gradients in Keras. Made easy.
Neural network visualization toolkit for keras
Layout algorithms for visualizing directed acyclic graphs
Web interface for browsing, search and filtering recent arxiv submissions
Code for training Keras ImageNet (ILSVRC2012) image classification models from scratch
XLNet: Generalized Autoregressive Pretraining for Language Understanding
MTCNN face detection implementation for TensorFlow, as a PIP package.
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
Visualizer for neural network, deep learning and machine learning models