weights-and-biases
There are 111 repositories under weights-and-biases topic.
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
iusztinpaul/energy-forecasting
🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
AntonMu/TrainYourOwnYOLO
Train a state-of-the-art yolov3 object detector from scratch!
grok-ai/nn-template
Generic template to bootstrap your PyTorch project.
eubinecto/the-clean-transformer
A clean and structured implementation of Transformer with wandb and pytorch-lightning
klieret/wandb-offline-sync-hook
A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
MIC-DKFZ/image_classification
:dart: Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments
JayThibs/map-floodwater-satellite-imagery
This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.
nzw0301/optuna-wandb
Example codes in the medium post titled "Optuna meets Weights and Biases."
seungjunlee96/lightning-generative-models
PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models
bsridatta/Rotated-Object-Detection
Tiny ResNet inspired FPN network (<2M params) for Rotated Object Detection using 5-parameter Modulated Rotation Loss
martysai/artificial-text-detection
Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.
alvarobartt/ml-monitoring-with-wandb
:detective::robot: Monitoring a PyTorch Lightning CNN with Weights & Biases
iusztinpaul/yacht
Order execution in the financial markets using Deep Reinforcement Learning.
Armandpl/wandb-jetracer
Training a racecar with W&B!
jerife/MLOps-on-kubernetes
MLOps Implementing "Brain Computer Interface" on Kubernetes
aasimsani/ml_project_template
A template repository to quickly get started on a new Machine Learning project.
tanishqgautam/SETI-Breakthrough-Listen
Solution to the SETI Breakthrough Listen Competition hosted on Kaggle
Wp-Zhang/Deep-Color-Transfer
Deep learning based color transfer between images.
benthecoder/gpt3-blog-title
Using GPT-3 to help me get more 👏 on medium.com
MoinDalvs/Neural_Network_Regression_Gas_Turbines
Predicting Turbine Energy Yield (TEY) using ambient variables as features.
kayvane1/wandb-course
Demo usage of Weights & Biases for ML Ops
SunilGolden/RecEngineMF
Recommendation Engine powered by Matrix Factorization.
Ryota-Kawamura/Evaluating-and-Debugging-Generative-AI
Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task.
aliabbasjaffri/iris-flyte-bentoml-pipeline
Pipeline built on flyte for training Iris dataset using Pytorch and Weights and Biases
dogeplusplus/group-unet
Experiment on rotation equivariance using Group Convolution U-Nets applied to segmentation of butterfly images
dunnkers/slurm-to-wandb
Monitor SLURM jobs using Weights and Biases (wandb) 📊
faizan1234567/medium-blog-posts-code
medium blog posts code
fotisk07/Automathon
My solution for the Automathon Superposed MNIST competition.
juliusberner/robust_kolmogorov
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning (ICML 2022)
kad99kev/Image-Inpainting
Image Inpainting using PyTorch.
kaustubhbhavsar/issue-driven-model-comparison-wandb
Automating machine learning model comparisons using Weights & Biases based on GitHub issues, enabling collaboration and communication.
memorabilien/dynamic-visual-scoring-calculator
A dynamically adjustable scoring calculator with a lighthouse style data visualization. Get a score between 0 to 100 from data, with dynamically adjustable target value, a from -5 to +5 adjustable bias , and a self adjusting weighting system.
pacifikus/kc_experiment_tracking_tools
Experiment tracking tools example
SaumyaBhandari/Moore_Penrose_PseudoInverse
The notebook here consists of the concept of "Moore Penrose PseudoInverse" which approximates the inverse of a matrix and we use it to find the weight vectors in any given linear regression problem.
UC-Irvine-CS175/uci-cs175
Official Course Webpage for CS175: Projects in AI