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This repository contains an exhaustive coverage of a hands on approach to PyTorch along side powerful tools to accelerate model tuning and training
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Research projects built on top of Transformers
VPN client in a thin Docker container for multiple VPN providers, written in Go, and using OpenVPN or Wireguard, DNS over TLS, with a few proxy servers built-in.
Inizialmente repo dei notebook per il corso base di Data Science tenuto da Goodwill. Adesso contenitore di attività didattica (e studio) "varia".
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downs…
Some of the necessary information to live on this really nice(cold) country
Tutorial on how to create your own pip package
Easy to use, state-of-the-art Neural Machine Translation for 100+ languages
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Distribute and run LLMs with a single file.
Open source project that aims to trace the history of data science through scientific research published over the years
🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of Optimum's hardware optimizations & quantization schemes.