Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

FastAPI Best Practices and Conventions we used at our startup

A series of Terraform based recipes to provision popular MLOps stacks on the cloud.

Minimalist ML framework for Rust

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

An open-source ML pipeline development platform

GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Questions to ask the company during your interview

An ongoing list of pandas quirks

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT p…

Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

Get protein embeddings from protein sequences

A curated list of references for MLOps

Examples of Automatic Differentiation (AD) in many different languages and systems

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

PyTorch tutorials and best practices.

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

PRML algorithms implemented in Python

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Notebooks demonstrating Swift for TensorFlow projects

Advanced mathematical types and functions for Swift

Pytorch implementation for few-shot photorealistic video-to-video translation.

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Statistical Rethinking with PyTorch and Pyro

Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

Approximating Wasserstein distances with PyTorch