LLM101n: Let's build a Storyteller

Accelerated deep learning R&D

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

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Sound analysis/synthesis tools for music applications

GPU Programming with Julia 2023 - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich

SurvTraj model. Supplementary code for paper "Generating Survival Interpretable Trajectories and Data"

(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/

Face anti-spoofing with transformers. Low Rank Adaptation of ViT-16 base 224 model.

Open-source AI cookbook

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

A resource list for causality in statistics, data science and physics

This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classifiers".

This repository will contain the major papers, books and blog posts on QML

This is the official repository for the "doggo dot jl" YouTube channel (fka "julia for talented amateurs").

Simple dotfile management with GNU stow.

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)

Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.

Машинное обучение на ФКН ВШЭ

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

KG-BERT: BERT for Knowledge Graph Completion

Practical assignments for the network science course

Novel algorithms to predict Remaining Useful Life (RUL) on NASA’s benchmark dataset, CMAPSS turbofan engine degradation simulation.

NLP course for FinTech Data Analysis 2021

A collection of useful .gitignore templates

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