andre-a-fernandes

andre-a-fernandes's Stars

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown326k5.6k71630.2k

• xai-org/grok-1

  Grok open release

  Language:Python49.8k5972148.3k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.9k3189504.8k

• Stability-AI/generative-models

  Generative Models by Stability AI

  Language:Python25.1k2603132.8k

• openai/openai-python

  The official Python library for the OpenAI API

  Language:Python24k3118453.4k

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript13k9237945k

• artidoro/qlora

  QLoRA: Efficient Finetuning of Quantized LLMs

  Language:Jupyter Notebook10.2k84250825

• colmap/colmap

  COLMAP - Structure-from-Motion and Multi-View Stereo

  Language:C++8k1742.1k1.6k

• google-deepmind/graphcast

  Language:Python5.6k91108686

• gboeing/osmnx

  Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

  Language:Python5k114673830

• cvg/LightGlue

  LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

  Language:Python3.5k50117364

• cvg/Hierarchical-Localization

  Visual localization made easy with hloc

  Language:Python3.3k86320613

• Tencent/MedicalNet

  Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

  Language:Python2k6383421

• pydicom/pydicom

  Read, modify and write DICOM files with python code

  Language:Python1.9k641.1k485

• waleedka/hiddenlayer

  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

  Language:Python1.8k4489266

• mhamilton723/FeatUp

  Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

  Language:Jupyter Notebook1.4k177580

• colmap/pycolmap

  Python bindings for COLMAP

  Language:C++93818161130

• minyoungg/platonic-rep

  Language:Python49112932

• Schlumberger/joint-vae

  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

  Language:Jupyter Notebook46320362

• LxMLS/lxmls-toolkit

  Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School

  Language:Python2246570214

• kevinsbello/dagma

  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

  Language:Python1083519

• philtabor/ProtoRL

  A Torch Based RL Framework for Rapid Prototyping of Research Papers

  Language:Python64285

• f1tenth/f1tenth_labs_openrepo

  Lab assignments for F1tenth course

  621040

• mattiasvillani/AdvBayesLearnCourse

  Course material for the PhD course in Advanced Bayesian Learning

  Language:PostScript579018

• biomedia-mira/causal-gen

  (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models

  Language:Python56397

• gabmoreira/maks

  Motion Averaging

  Language:MATLAB56445

• STIMALiU/ml4industry

  Machine Learning course at Linköping University for Industry

  Language:Jupyter Notebook201105

• cuicathy/MMD_SurvivalPrediction

  Code and data for MICCAI 2022 accepted paper: Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data

  Language:Python17121

• mattiasvillani/MLcourse

  Machine Learning, 7.5 credits, a course that I have previously given at Department of Statistics at Stockholm University.

  Language:HTML15403

• biomedia-mira/counterfactual-contrastive

  Code for the paper "Counterfactual contrastive learning: robust representations via causal image synthesis"

  Language:Python14302