MatthieuCourbariaux
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Université de Montréal
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"name": "BinaryNet",
"description": "Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1",
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"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"51251187\" href=\"/MatthieuCourbariaux/BinaryNet\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n BinaryNet\n </span></a> <tool-tip id=\"tooltip-5895e6a7-a1ec-46ce-a2ff-74ac9405c005\" for=\"51251187\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">BinaryNet</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/MatthieuCourbariaux/BinaryNet/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 1.1k\n </a>\n <a href=\"/MatthieuCourbariaux/BinaryNet/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 339\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"40491444\" href=\"/MatthieuCourbariaux/BinaryConnect\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n BinaryConnect\n </span></a> <tool-tip id=\"tooltip-6789992b-b3a7-416a-ad50-f14969bb4f98\" for=\"40491444\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">BinaryConnect</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n Training Deep Neural Networks with binary weights during propagations\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/MatthieuCourbariaux/BinaryConnect/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 383\n </a>\n <a href=\"/MatthieuCourbariaux/BinaryConnect/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 110\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"28256790\" href=\"/MatthieuCourbariaux/deep-learning-multipliers\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n deep-learning-multipliers\n </span></a> <tool-tip id=\"tooltip-7df847bf-4957-4882-9f5b-2ba40eac5b10\" for=\"28256790\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">deep-learning-multipliers</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n Training deep neural networks with low precision multiplications\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/MatthieuCourbariaux/deep-learning-multipliers/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 64\n </a>\n <a href=\"/MatthieuCourbariaux/deep-learning-multipliers/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 25\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"55985048\" href=\"/MatthieuCourbariaux/8-bit-deep-learning\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n 8-bit-deep-learning\n </span></a> <tool-tip id=\"tooltip-69236219-567c-444e-a779-6f4788188729\" for=\"55985048\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">8-bit-deep-learning</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n Training neural networks with 8-bit computations\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/MatthieuCourbariaux/8-bit-deep-learning/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 28\n </a>\n <a href=\"/MatthieuCourbariaux/8-bit-deep-learning/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 7\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"54238399\" href=\"/MatthieuCourbariaux/AdversarialGradient\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n AdversarialGradient\n </span></a> <tool-tip id=\"tooltip-3fdaf3ba-ea9e-4eab-b4a8-2aa6d6e5ad4c\" for=\"54238399\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">AdversarialGradient</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n A very simple variant of adversarial training that yields excellent results on MNIST\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #3572A5\"></span>\n <span itemprop=\"programmingLanguage\">Python</span>\n</span>\n\n <a href=\"/MatthieuCourbariaux/AdversarialGradient/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 12\n </a>\n <a href=\"/MatthieuCourbariaux/AdversarialGradient/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 3\n </a>\n </p>\n ",
"\n <div class=\"d-flex v-align-middle mr-2\">\n <span data-view-component=\"true\" class=\"position-relative\"><a id=\"43273666\" href=\"/MatthieuCourbariaux/binary-matrix-product\" data-view-component=\"true\" class=\"min-width-0 Link text-bold flex-auto wb-break-all\"><span class=\"repo\">\n binary-matrix-product\n </span></a> <tool-tip id=\"tooltip-3f41df9c-2a2b-4139-a7f1-7442f1db4754\" for=\"43273666\" popover=\"manual\" data-direction=\"n\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\">binary-matrix-product</tool-tip></span> <span class=\"flex-auto text-right\">\n <span></span><span class=\"Label Label--secondary v-align-middle \">Public</span>\n </span>\n </div>\n\n\n <p class=\"pinned-item-desc color-fg-muted text-small d-block mt-2 tmp-mb-3\">\n Fast binary matrix product on CPU\n </p>\n\n <p class=\"mb-0 f6 color-fg-muted\">\n <span class=\"tmp-mr-3 d-inline-block\">\n <span class=\"repo-language-color\" style=\"background-color: #f34b7d\"></span>\n <span itemprop=\"programmingLanguage\">C++</span>\n</span>\n\n <a href=\"/MatthieuCourbariaux/binary-matrix-product/stargazers\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"stars\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 10\n </a>\n <a href=\"/MatthieuCourbariaux/binary-matrix-product/forks\" class=\"pinned-item-meta Link--muted\">\n <svg aria-label=\"forks\" role=\"img\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>\n 5\n </a>\n </p>\n "
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