Topic: wandb Goto Github
Some thing interesting about wandb
Some thing interesting about wandb
wandb,Neural Modeling of Magnetic Tape Recorders
User: 01tot10
Home Page: http://research.spa.aalto.fi/publications/papers/dafx23-neural-tape/
wandb,Github repo with tutorials to fine tune transformers for diff NLP tasks
User: abhimishra91
wandb,๐ฅKNOW๊ธฐ๋ฐ ์ง์ ์ถ์ฒ ์๊ณ ๋ฆฌ์ฆ ๊ฒฝ์ง๋ํ 1๋ฑ ์๋ฃจ์ ์ ๋๋ค๐ฅ
User: affjljoo3581
Home Page: https://dacon.io/competitions/official/235865/leaderboard
wandb,๐ฅSamsung AI Challenge 2021 1๋ฑ ์๋ฃจ์ ์ ๋๋ค๐ฅ
User: affjljoo3581
Home Page: https://dacon.io/competitions/official/235789/leaderboard
wandb,PyTorch-Lightning Library for Neural News Recommendation
User: andreeaiana
Home Page: https://newsreclib.readthedocs.io/en/latest/
wandb,Train a state-of-the-art yolov3 object detector from scratch!
User: antonmu
wandb,Sequence models in Numpy
User: arig23498
Home Page: https://bit.ly/under_RNN
wandb,Phoneme Recognition using pre-trained models Wav2vec2, HuBERT and WavLM. Throughout this project, we compared specifically three different self-supervised models, Wav2vec (2019, 2020), HuBERT (2021) and WavLM (2022) pretrained on a corpus of English speech that we will use in various ways to perform phoneme recognition for different languages with a network trained with Connectionist Temporal Classification (CTC) algorithm.
Organization: asr-project
wandb,Automatically upload the model saved as W&B Artifact to Kaggle Dataset.
User: ayulockin
wandb,Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.
User: bknyaz
Home Page: https://arxiv.org/abs/2007.05756
wandb,Tiny ResNet inspired FPN network (<2M params) for Rotated Object Detection using 5-parameter Modulated Rotation Loss
User: bsridatta
wandb,(ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.13458), which extends vanilla DML with auxiliary and self-supervised features.
User: confusezius
wandb,(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
User: confusezius
wandb,MLOps Workshop using Weights and Bias (Wandb) and Github Actions.
User: darkanita
wandb,Transformers 3rd Edition
User: denis2054
wandb,Utilities and boilerplate code to use wandb with allennlp
User: dhruvdcoder
wandb,Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.
User: digantamisra98
wandb,Benchmarking framework for Feature Selection and Feature Ranking algorithms ๐
User: dunnkers
Home Page: https://dunnkers.com/fseval
wandb,A clean and structured implementation of the RNN family with wandb and pytorch-lightning
User: eubinecto
Home Page: https://share.streamlit.io/eubinecto/the-clean-rnns/main/run_deploy.py
wandb,A clean and structured implementation of Transformer with wandb and pytorch-lightning
User: eubinecto
wandb,Easiest way of fine-tuning HuggingFace video classification models
User: fcakyon
wandb,Utils and modules for Speech Language and Multimodal processing using pytorch and pytorch lightning
User: georgepar
wandb,Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.
User: gorodnitskiy
wandb,Generic template to bootstrap your PyTorch project.
Organization: grok-ai
Home Page: https://grok-ai.github.io/nn-template
wandb,Exploring NLP weak supervision approaches to train text classification models. The project is also a prototype for a semi-automated text data labelling platform. Approaches: Snorkel and Zero-Shot Learning.
User: jaythibs
wandb,PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
User: khanhnamle1994
wandb,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/
wandb,KUIELAB-MDX-Net got the 2nd place on the Leaderboard A and the 3rd place on the Leaderboard B in the MDX-Challenge ISMIR 2021
Organization: kuielab
Home Page: https://www.aicrowd.com/challenges/music-demixing-challenge-ismir-2021/
wandb,Tensorflow 2.3.0 implementation of DeepLabV3-Plus
Organization: lattice-ai
Home Page: https://keras.io/examples/vision/deeplabv3_plus/
wandb,:flashlight: Pytorch implementation of TrackNet
User: mareksubocz
wandb,RL-Toolkit: A Research Framework for Robotics
User: markub3327
wandb,Unofficial PyTorch Implementation for HifiFace (https://arxiv.org/abs/2106.09965)
Organization: maum-ai
wandb,PyTorch implementation of the U-Net for image semantic segmentation with high quality images
User: milesial
wandb,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
wandb,Automated question generation and question answering from Turkish texts using text-to-text transformers
Organization: obss
Home Page: https://journals.tubitak.gov.tr/elektrik/vol30/iss5/17/
wandb,A multibranch neural net architecture. (PyTorch)
User: raghav1810
wandb,This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).
User: rpatrik96
wandb,Deep Learning project template for PyTorch (multi-gpu training is supported)
User: ryul99
wandb,Simplified PyTorch Trainer
User: sagnik1511
Home Page: https://pypi.org/project/torch-tutor/0.0.4/
wandb,Interactively inspect module inputs, outputs, parameters, and gradients.
User: spfrommer
Home Page: https://spfrommer.github.io/torchexplorer/
wandb,Google's BigBird (Jax/Flax & PyTorch) @ ๐คTransformers
User: thevasudevgupta
Home Page: https://www.youtube.com/watch?v=G22vNvHmHQ0
wandb,2D keypoint detection with Pytorch Lightning and wandb
User: tlpss
wandb,High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
User: vwxyzjn
Home Page: http://docs.cleanrl.dev
wandb,๐ค Project template for your next awesome AI project. ๐ฆพ
User: wiktorlazarski
wandb,๐ฆ Human head semantic segmentation
User: wiktorlazarski
wandb,Machine Learning eXperiment Utilities
User: young-geng
wandb,BERT-based NLP template (+ WandB, Hydra)
User: youngerous
wandb,Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.
User: yuchengml
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