[Research] A Pytorch Toolbox for General Instance Re-identification -- FastReID https://www.reddit.com/r/MachineLearning/comments/hv69yw/research_a_pytorch_toolbox_for_general_instance/ #MachineLearning

[D] Consumer GPU cloud rental (vast.ai) https://www.reddit.com/r/MachineLearning/comments/hv49pd/d_consumer_gpu_cloud_rental_vastai/ #MachineLearning

[R] CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds https://www.reddit.com/r/MachineLearning/comments/hv4ndh/r_cloudcast_a_satellitebased_dataset_and_baseline/ #MachineLearning

[P] End to End Machine Learning Tutorial — From Data Collection to Deployment 🚀 https://www.reddit.com/r/MachineLearning/comments/hv4bg3/p_end_to_end_machine_learning_tutorial_from_data/ #MachineLearning

[R] Dealing with a magnitude gap in data https://www.reddit.com/r/MachineLearning/comments/hv4aty/r_dealing_with_a_magnitude_gap_in_data/ #MachineLearning

CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds https://www.reddit.com/r/MachineLearning/comments/hv42cp/cloudcast_a_satellitebased_dataset_and_baseline/ #MachineLearning

[R] Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures https://www.reddit.com/r/MachineLearning/comments/hv4299/r_compositional_generalization_in_semantic/ #MachineLearning

[D] Essential skills for machine learning engineers https://www.reddit.com/r/MachineLearning/comments/hv41ak/d_essential_skills_for_machine_learning_engineers/ #MachineLearning

[R] Hybrid Discriminative-Generative Training via Contrastive Learning https://www.reddit.com/r/MachineLearning/comments/hv3ofn/r_hybrid_discriminativegenerative_training_via/ #MachineLearning

[D] Has Anyone Done Linguistic Analysis of Machine-Translated Text? https://www.reddit.com/r/MachineLearning/comments/hv0si3/d_has_anyone_done_linguistic_analysis_of/ #MachineLearning

[D] What is the difference between “greedy selection” and “sampling according to a distribution?” https://www.reddit.com/r/MachineLearning/comments/huywjm/d_what_is_the_difference_between_greedy_selection/ #MachineLearning

[N] The Lisbon ML school starts tomorrow! Talks will be livestreamed for free. https://www.reddit.com/r/MachineLearning/comments/huyp4d/n_the_lisbon_ml_school_starts_tomorrow_talks_will/ #MachineLearning

[D]Tools for Visual inspection of large dataset on remote server https://www.reddit.com/r/MachineLearning/comments/huu2o3/dtools_for_visual_inspection_of_large_dataset_on/ #MachineLearning

[D] Nostalgia Paper Review - Generative Adversarial Networks (Full Video Analysis) https://www.reddit.com/r/MachineLearning/comments/hut9ji/d_nostalgia_paper_review_generative_adversarial/ #MachineLearning

[D] Why is IBM's Watson Platform Dreaded? https://www.reddit.com/r/MachineLearning/comments/huqpzl/d_why_is_ibms_watson_platform_dreaded/ #MachineLearning

[D] - How can I build a risk simulation? https://www.reddit.com/r/MachineLearning/comments/huozzl/d_how_can_i_build_a_risk_simulation/ #MachineLearning

[R] Do Adversarially Robust ImageNet Models Transfer Better? https://www.reddit.com/r/MachineLearning/comments/hurfls/r_do_adversarially_robust_imagenet_models/ #MachineLearning

[D] Crowdsourced imagery data https://www.reddit.com/r/MachineLearning/comments/huq513/d_crowdsourced_imagery_data/ #MachineLearning

[R] GeoTorch: A library for constrained optimization and manifold optimization for deep learning in PyTorch https://www.reddit.com/r/MachineLearning/comments/huoapf/r_geotorch_a_library_for_constrained_optimization/ #MachineLearning

[R][D] discussion with the author of Temporal Graph Networks (TGN) https://www.reddit.com/r/MachineLearning/comments/huovlr/rd_discussion_with_the_author_of_temporal_graph/ #MachineLearning