bramth

bramth's Stars

• mckinsey/vizro

  Vizro is a toolkit for creating modular data visualization applications.

  Language:Python2.7k142

• xaviml/controllerx

  Create controller-based automations with ease to control your home devices and scenes.

  Language:Python33570

• davidusb-geek/emhass

  emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.

  Language:Python30161

• Kanaries/pygwalker

  PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

  Language:Python13.3k698

• JuliaAI/MLJ.jl

  A Julia machine learning framework

  Language:Julia1.8k157

• FluxML/Flux.jl

  Relax! Flux is the ML library that doesn't make you tensor

  Language:Julia4.5k610

• JuliaLang/IJulia.jl

  Julia kernel for Jupyter

  Language:Julia2.8k412

• WongKinYiu/yolov7

  Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

  Language:Jupyter Notebook13.4k4.2k

• stellargraph/stellargraph

  StellarGraph - Machine Learning on Graphs

  Language:Python2.9k431

• ucuapps/OpenGlue

  Open Source Graph Neural Net Based Pipeline for Image Matching

  Language:Python33845

• Fody/Fody

  Extensible tool for weaving .net assemblies

  Language:C#4.4k459

• taki0112/UGATIT

  Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

  Language:Python6.2k1k

• znxlwm/UGATIT-pytorch

  Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

  Language:Python2.5k476

• LS4GAN/uvcgan

  Code accompanying UVCGAN paper

  Language:Python13422

• xaviervasques/EEG-letters

  Language:Python4659

• alexmojaki/sorcery

  Dark magic delights in Python

  Language:Python40821

• adap/flower

  Flower: A Friendly Federated AI Framework

  Language:Python5.1k875

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.8k3.3k

• ethanluoyc/pytorch-vae

  A Variational Autoencoder (VAE) implemented in PyTorch

  Language:Python409107

• google/model_search

  Language:Python3.3k460

• apple/ml-cvnets

  CVNets: A library for training computer vision networks

  Language:Python1.8k228

• davidtellez/contrastive-predictive-coding

  Keras implementation of Representation Learning with Contrastive Predictive Coding

  Language:Python525120

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20.1k2.5k

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript28.1k2.8k

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.4k808

• AgaMiko/waste-datasets-review

  List of image datasets with any kind of litter, garbage, waste and trash

  26839

• tensorflow/gnn

  TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

  Language:Python1.4k178

• google/brain-tokyo-workshop

  🧠🗼

  Language:Jupyter Notebook1.3k333

• sicara/tf-explain

  Interpretability Methods for tf.keras models with Tensorflow 2.x

  Language:Python1k111

• jacobgil/keras-grad-cam

  An implementation of Grad-CAM with keras

  Language:Python658237