{"id":13713101,"url":"https://github.com/ljk628/ML-Systems","last_synced_at":"2025-05-06T23:30:33.239Z","repository":{"id":219357668,"uuid":"42152083","full_name":"ljk628/ML-Systems","owner":"ljk628","description":"papers on scalable and efficient machine learning systems","archived":false,"fork":false,"pushed_at":"2018-09-28T06:49:56.000Z","size":88,"stargazers_count":192,"open_issues_count":1,"forks_count":43,"subscribers_count":19,"default_branch":"master","last_synced_at":"2024-11-13T23:33:01.563Z","etag":null,"topics":["convolutional-neural-networks","deep-learning","distributed-computing","machine-learning","optimization"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ljk628.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2015-09-09T02:50:26.000Z","updated_at":"2024-10-21T16:07:00.000Z","dependencies_parsed_at":null,"dependency_job_id":"2378bf36-6231-4c0e-a0d9-4abf87a459e0","html_url":"https://github.com/ljk628/ML-Systems","commit_stats":null,"previous_names":["ljk628/ml-systems"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ljk628%2FML-Systems","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ljk628%2FML-Systems/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ljk628%2FML-Systems/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ljk628%2FML-Systems/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ljk628","download_url":"https://codeload.github.com/ljk628/ML-Systems/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252787169,"owners_count":21804210,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["convolutional-neural-networks","deep-learning","distributed-computing","machine-learning","optimization"],"created_at":"2024-08-02T23:01:27.479Z","updated_at":"2025-05-06T23:30:32.955Z","avatar_url":"https://github.com/ljk628.png","language":null,"funding_links":[],"categories":["Table of Contents","REFERENCE"],"sub_categories":["2023"],"readme":"# Fast and Scalable Machine Learning: Algorithms and Systems\n\n\nThis is a collection of papers about recent progress in machine learning and systems, including distributed machine learning, deep learning and etc.\n\n## Contents\n1. Deep Learning\n\t- [Convolutional Neural Networks](dl_cnn.md)  \n\t\t- [ImageNet Models](dl_cnn.md#imagenet-models)  \n\t\t- [Architecture Design](dl_cnn.md#architecture-design)  \n\t\t- [Activation Functions](dl_cnn.md#activation-functions)  \n\t\t- [Visualization](dl_cnn.md#visualization)  \n\t\t- [Fast Convolution](dl_cnn.md#fast-convolution)  \n\t\t- [Low-Rank Filter Approximation](dl_cnn.md#low-rank-filter-approximation)\n\t\t- [Low Precision](dl_cnn.md#low-precision)  \n\t\t- [Parameter Pruning](dl_cnn.md#parameter-pruning)  \n\t\t- [Transfer Learning](dl_cnn.md#transfer-learning)  \n\t\t- [Theory](dl_cnn.md#theory)  \n\t\t- [3D Data](dl_cnn.md#3d-data)  \n\t\t- [Hardware](dl_cnn.md#hardware)  \n\t- [Optimization for Deep Learning](dl_opt.md)  \n\t\t- [Generalization](dl_opt.md#generalization)  \n\t\t- [Loss Surface](dl_opt.md#loss-surface)  \n\t\t- [Batch Size](dl_opt.md#batch-size)  \n\t\t- [General](dl_opt.md#general)  \n\t\t- [Adaptive Gradient Methods](dl_opt.md#adaptive-gradient-methods)  \n\t\t- [Distributed Optimization](dl_opt.md#distributed-optimization)  \n\t\t- [Initialization](dl_opt.md#initialization)  \n\t\t- [Low Precision](dl_opt.md#low-precision)  \n\t\t- [Normalization](dl_opt.md#normalization)  \n\t\t- [Regularization](dl_opt.md#regularization)  \n\t\t- [Meta Learning](dl_opt.md#meta-learning)  \n\t- [Deep Learning Systems](dl_sys.md) \t\n\t\t- [General Frameworks](dl_sys.md#general-frameworks)  \n\t\t- [Specific System](dl_sys.md#specific-system)  \n\t\t- [Parallelization](dl_sys.md#parallelization)  \n2. Distributed Machine Learning\n\t- [Distributed Optimization](dist_ml.md#distributed-optimization)\n\t- [Distributed ML Systems](dist_ml.md#distributed-ml-systems)\n3. Other Topics\n\t- [Matrix Factorization](matrix_fact.md)\n\t- [Graph Computation](graph.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fljk628%2FML-Systems","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fljk628%2FML-Systems","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fljk628%2FML-Systems/lists"}