bharani1990

LLM101n

LLM101n: Let's build a Storyteller

catalyst

Accelerated deep learning R&D

pytorch-lightning

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

segmentation_models.pytorch

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

sms-tools

Sound analysis/synthesis tools for music applications

julia-gpu-course-2023

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

SurvTraj

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

NAF

rtdl-num-embeddings

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

h2ogpt

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://gpt-docs.h2o.ai/

spoof

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

cookbook

Open-source AI cookbook

LLMs-from-scratch

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

looper

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

conformal_training

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

Roadmap-to-QML

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

tutorials

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

.dotfiles

Simple dotfile management with GNU stow.

SciMLBook

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

conformalized-gnn

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

RecSys_course

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

ml-course-hse

Машинное обучение на ФКН ВШЭ

Deep-Learning-In-Production

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

graphSAGE-pytorch

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

kg-bert

KG-BERT: BERT for Knowledge Graph Completion

network-science

Practical assignments for the network science course

cmapss

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

NLP-HSE_FinTechDA-2021

NLP course for FinTech Data Analysis 2021

gitignore

A collection of useful .gitignore templates

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠