Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

List of companies in the S&P 500 together with associated financials

Stable Diffusion with Core ML on Apple Silicon

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…

Easy and Repeatable Kubernetes Development

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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

좋은 개발팀을 만드는데 도움이 되는 자료

oneAPI Deep Neural Network Library (oneDNN)

A curated list of pretrained sentence and word embedding models

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Hearthstone simulator using C++ with some reinforcement learning

Your window into the Elastic Stack

📊 A simple command-line utility for querying and monitoring GPU status

Google AI 2018 BERT pytorch implementation

Torch implementation of neural style algorithm

Free and Open Source, Distributed, RESTful Search Engine

Using the genetic algorithm and neural networks I trained up 5 snakes who will then fuse to become the ultimate snake, this is how I did it

Master programming by recreating your favorite technologies from scratch.

Efficient Image Captioning code in Torch, runs on GPU