Topic: weights-and-biases Goto Github
Some thing interesting about weights-and-biases
Some thing interesting about weights-and-biases
weights-and-biases,A template repository to quickly get started on a new Machine Learning project.
User: aasimsani
weights-and-biases,This repository provides you the code for the regression algorithms like, linear regression and weight estimation techniques from scratch.
User: abdulwajed-farhat
weights-and-biases,Pipeline built on flyte for training Iris dataset using Pytorch and Weights and Biases
User: aliabbasjaffri
weights-and-biases,:detective::robot: Monitoring a PyTorch Lightning CNN with Weights & Biases
User: alvarobartt
Home Page: https://wandb.ai/alvarobartt/ml-monitoring-with-wandb
weights-and-biases,Train a state-of-the-art yolov3 object detector from scratch!
User: antonmu
weights-and-biases,Training a racecar with W&B!
User: armandpl
weights-and-biases,Kotlin Multiplatform sample application.
User: balintus00
weights-and-biases,Using GPT-3 to help me get more 👏 on medium.com
User: benthecoder
Home Page: https://benedictxneo.medium.com/
weights-and-biases,Tiny ResNet inspired FPN network (<2M params) for Rotated Object Detection using 5-parameter Modulated Rotation Loss
User: bsridatta
weights-and-biases,Templates for AI projects.
User: dhruvsrikanth
weights-and-biases,Experiment on rotation equivariance using Group Convolution U-Nets applied to segmentation of butterfly images
User: dogeplusplus
weights-and-biases,Monitor SLURM jobs using Weights and Biases (wandb) 📊
User: dunnkers
weights-and-biases,A clean and structured implementation of Transformer with wandb and pytorch-lightning
User: eubinecto
weights-and-biases,Additional Callbacks for Weights & Biases to monitor your models even better :mag_right:
User: fabiangroeger96
Home Page: https://fabiangroeger96.github.io/wandb-callbacks/
weights-and-biases,medium blog posts code
User: faizan1234567
weights-and-biases,My solution for the Automathon Superposed MNIST competition.
User: fotisk07
Home Page: https://sharing.cs-campus.fr/compete/81
weights-and-biases,Click-Through Rate Prediction
User: ftmoztl
weights-and-biases,Neural networks to obtain redshift from simulated quasar spectrums 🌌
User: gabrielmissael
weights-and-biases,Generic template to bootstrap your PyTorch project.
Organization: grok-ai
Home Page: https://grok-ai.github.io/nn-template
weights-and-biases,Step into the realm of Emotion Detection Generalization! Uncover the power of deep learning as we decode human emotions from facial images. Explore our arsenal of fine-tuned CNN models and curated datasets, shaping a future where technology empathizes and connects on a deeper level. Revolutionize human-computer interaction with us today!
User: gyanbardhan
Home Page: https://emotion-detection-dahzbnsabyd579zzop8xhd.streamlit.app/
weights-and-biases,🌀 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
User: iusztinpaul
Home Page: https://www.pauliusztin.me/courses/the-full-stack-7-steps-mlops-framework
weights-and-biases,Order execution in the financial markets using Deep Reinforcement Learning.
User: iusztinpaul
weights-and-biases,This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.
User: jaythibs
weights-and-biases,MLOps Implementing "Brain Computer Interface" on Kubernetes
User: jerife
weights-and-biases,Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning (ICML 2022)
User: juliusberner
weights-and-biases,Learning ReLU networks to high uniform accuracy is intractable (ICLR 2023)
User: juliusberner
Home Page: https://arxiv.org/abs/2205.13531
weights-and-biases,Image Inpainting using PyTorch.
User: kad99kev
Home Page: https://wandb.ai/kad99kev/inpainting
weights-and-biases,Automating machine learning model comparisons using Weights & Biases based on GitHub issues, enabling collaboration and communication.
User: kaustubhbhavsar
weights-and-biases,FastRide: NYC Taxi Trip Duration Prediction employs machine learning techniques to accurately predict the duration of taxi trips in New York City, helping transportation businesses optimize operations and enhance customer satisfaction.
User: kaustubhbhavsar
weights-and-biases,Demo usage of Weights & Biases for ML Ops
User: kayvane1
weights-and-biases,A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
User: klieret
Home Page: https://wandb-offline-sync-hook.rtfd.io/
weights-and-biases,Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.
User: martysai
Home Page: https://pypi.org/project/artificial-detection/
weights-and-biases,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.
User: memorabilien
Home Page: https://memorabilien.github.io/dynamic-visual-scoring-calculator/docs/demo/
weights-and-biases,:dart: Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments
Organization: mic-dkfz
weights-and-biases,PyTorch implementation of the U-Net for image semantic segmentation with high quality images
User: milesial
weights-and-biases,Predicting Turbine Energy Yield (TEY) using ambient variables as features.
User: moindalvs
weights-and-biases,Example of integration of Neu.ro with W&B for hyperparameter tuning
Organization: neuro-inc
weights-and-biases,
Organization: neuro-inc
weights-and-biases,Example codes in the medium post titled "Optuna meets Weights and Biases."
User: nzw0301
Home Page: https://medium.com/optuna/optuna-meets-weights-and-biases-58fc6bab893
weights-and-biases,Experiment tracking tools example
User: pacifikus
weights-and-biases,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.
User: ryota-kawamura
Home Page: https://www.deeplearning.ai/short-courses/evaluating-debugging-generative-ai/
weights-and-biases,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.
User: saumyabhandari
weights-and-biases,This repository contains the experiments to show certain capabilities of Weights and Biases.
User: sayakpaul
weights-and-biases,Neural Network using NumPy, V1: Built from scratch. V2: Optimised with hyperparameter search.
User: sef007
weights-and-biases,PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models
User: seungjunlee96
weights-and-biases,Skin Lesion Classifier using the ISIC 2018 Task 3 Dataset.
User: sunilgolden
weights-and-biases,Recommendation Engine powered by Matrix Factorization.
User: sunilgolden
weights-and-biases,Solution to the SETI Breakthrough Listen Competition hosted on Kaggle
User: tanishqgautam
Home Page: https://www.kaggle.com/ligtfeather/swinformer-cutmix-amp-accelerate-w-b
weights-and-biases,Official Course Webpage for CS175: Projects in AI
Organization: uc-irvine-cs175
Home Page: https://uc-irvine-cs175.github.io/uci-cs175/
weights-and-biases,Deep learning based color transfer between images.
User: wp-zhang
Home Page: https://wp-zhang.github.io/Deep-Color-Transfer/
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