Mateusmsouza

Mateusmsouza's Stars

• ollama/ollama

  Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

  Language:Go96.5k5794.8k7.7k

• papers-we-love/papers-we-love

  Papers from the computer science community to read and discuss.

  Language:Shell87.9k3.1k2435.7k

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust30.2k1679k1.9k

• opentofu/opentofu

  OpenTofu lets you declaratively manage your cloud infrastructure.

  Language:Go23.2k119975894

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python20.4k1552653k

• aleju/imgaug

  Image augmentation for machine learning experiments.

  Language:Python14.4k2295172.4k

• albumentations-team/albumentations

  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

  Language:Python14.2k1281k1.6k

• bnb/awesome-hyper

  🖥 Delightful Hyper plugins, themes, and resources

  10.7k14894366

• google-research/vision_transformer

  Language:Jupyter Notebook10.4k1062071.3k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.2k78485979

• artidoro/qlora

  QLoRA: Efficient Finetuning of Quantized LLMs

  Language:Jupyter Notebook10k85248820

• openai/guided-diffusion

  Language:Python6.2k140140822

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python6k62510658

• Nyandwi/machine_learning_complete

  A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

  Language:Jupyter Notebook4.6k845762

• youssefHosni/Data-Science-Interview-Questions-Answers

  Curated list of data science interview questions and answers

  3.3k595771

• rinongal/textual_inversion

  Language:Jupyter Notebook2.9k54158280

• rootusercop/Free-DevOps-Books-1

  A curated collection of free DevOps related eBooks

  2.4k1120996

• hilmanski/freeStuffDev

  list of free stuff for developer

  Language:Astro1.7k1958783

• AgaMiko/data-augmentation-review

  List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

  1.6k435204

• becauseofAI/awesome-face

  An awesome face technology repository.

  Language:HTML1.3k791214

• o0o0o0o0o0o0o/image-processing-from-scratch

  This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch.

  Language:C++1.1k13310305

• learnk8s/free-kubernetes

  List of Free Trials of Managed Kubernetes Services

  1k3912128

• LambdaLabsML/examples

  Deep Learning Examples

  Language:Jupyter Notebook8071458105

• dmarx/anthology-of-modern-ml

  Collection of important articles to be treated as a textbook

  Language:Jupyter Notebook59717430

• slok/kubewebhook

  Go framework to create Kubernetes mutating and validating webhooks

  Language:Go588102473

• Sohl-Dickstein/Diffusion-Probabilistic-Models

  Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

  Language:Python44810268

• khawar-islam/diffuseMix

  Official PyTorch implementation of DiffuseMix : Label-Preserving Data Augmentation with Diffusion Models (CVPR'2024)

  Language:Python911128

• KinWaiCheuk/pytorch-triplet-loss

  Triplet-net and triplet loss implementation on pytorch

  Language:Jupyter Notebook42219

• asagar60/Siamese-Neural-Networks-for-One-shot-Image-Recognition

  One Shot Learning Implementation

  Language:Jupyter Notebook391110

• BeastByteAI/firefly

  A DIY Deep Learning Framework

  Language:Python21000