PiotrekGa

PiotrekGa's Stars

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python38.3k3823206.2k

• rasbt/LLMs-from-scratch

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

  Language:Jupyter Notebook37.4k3991114.8k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.7k291432.3k

• unslothai/unsloth

  Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory

  Language:Python20.1k1351.2k1.4k

• stas00/ml-engineering

  Machine Learning Engineering Open Book

  Language:Python12.2k11830747

• Lightning-AI/litgpt

  20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

  Language:Python11.1k1008191.1k

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.6k69186356

• MaartenGr/BERTopic

  Leveraging BERT and c-TF-IDF to create easily interpretable topics.

  Language:Python6.3k511.7k775

• bentrevett/pytorch-seq2seq

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

  Language:Jupyter Notebook5.4k661941.3k

• zotroneneis/machine_learning_basics

  Plain python implementations of basic machine learning algorithms

  Language:Jupyter Notebook4.3k16410836

• microsoft/LMOps

  General technology for enabling AI capabilities w/ LLMs and MLLMs

  Language:Python3.8k54141286

• karpathy/ng-video-lecture

  Language:Python3.7k5730968

• MAIF/shapash

  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

  Language:Jupyter Notebook2.8k37220334

• noamgat/lm-format-enforcer

  Enforce the output format (JSON Schema, Regex etc) of a language model

  Language:Python1.7k1311672

• CHIANGEL/Awesome-LLM-for-RecSys

  Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

  1.1k15764

• AntonioLonga/PytorchGeometricTutorial

  Pytorch Geometric Tutorials

  Language:Jupyter Notebook1.1k1415310

• PiotrNawrot/nanoT5

  Fast & Simple repository for pre-training and fine-tuning T5-style models

  Language:Python987183975

• probml/dynamax

  State Space Models library in JAX

  Language:Python7272719083

• qdrant/quaterion

  Blazing fast framework for fine-tuning similarity learning models

  Language:Python645108046

• AnacletoLAB/grape

  🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

  Language:Jupyter Notebook554205939

• HazyResearch/H3

  Language Modeling with the H3 State Space Model

  Language:Assembly516322654

• qdrant/awesome-metric-learning

  😎 A curated list of awesome practical Metric Learning and its applications

  48615520

• yandex-research/tab-ddpm

  [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

  Language:Python41164490

• rapidsai/deeplearning

  Language:Jupyter Notebook34013589

• otto-de/recsys-dataset

  🛍 A real-world e-commerce dataset for session-based recommender systems research.

  Language:Python3169547

• hyren/query2box

  Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings

  Language:Python20351028

• RobotecAI/rai

  RAI is a multi-vendor agent framework for robotics, utilizing Langchain and ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.

  Language:Python17946523

• google-research/smore

  Language:Python16371628

• ykwon0407/WeightedSHAP

  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)

  Language:Jupyter Notebook1602119

• radekosmulski/ask_ai

  Language:Jupyter Notebook976115