labmlai/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Stars and forks stats for /labmlai/annotated_deep_learning_paper_implementations
1 883 forks on 2023-02-281 883 forks on 2023-03-011 887 forks on 2023-03-021 891 forks on 2023-03-031 893 forks on 2023-03-041 895 forks on 2023-03-051 895 forks on 2023-03-061 898 forks on 2023-03-071 899 forks on 2023-03-081 902 forks on 2023-03-091 903 forks on 2023-03-101 904 forks on 2023-03-111 904 forks on 2023-03-121 904 forks on 2023-03-131 905 forks on 2023-03-141 910 forks on 2023-03-151 913 forks on 2023-03-161 915 forks on 2023-03-171 915 forks on 2023-03-181 921 forks on 2023-03-191 922 forks on 2023-03-201 923 forks on 2023-03-211 959 forks on 2023-03-221 978 forks on 2023-03-231 992 forks on 2023-03-242 005 forks on 2023-03-252 016 forks on 2023-03-262 036 forks on 2023-03-272 046 forks on 2023-03-282 046 forks on 2023-03-292 069 forks on 2023-03-302 069 forks on 2023-03-312 090 forks on 2023-04-012 099 forks on 2023-04-022 107 forks on 2023-04-032 114 forks on 2023-04-042 120 forks on 2023-04-052 128 forks on 2023-04-062 141 forks on 2023-04-072 152 forks on 2023-04-082 169 forks on 2023-04-092 183 forks on 2023-04-102 195 forks on 2023-04-112 213 forks on 2023-04-122 228 forks on 2023-04-132 233 forks on 2023-04-142 233 forks on 2023-04-152 242 forks on 2023-04-162 252 forks on 2023-04-172 252 forks on 2023-04-182 261 forks on 2023-04-192 261 forks on 2023-04-202 278 forks on 2023-04-212 284 forks on 2023-04-222 285 forks on 2023-04-232 295 forks on 2023-04-242 312 forks on 2023-04-252 317 forks on 2023-04-262 325 forks on 2023-04-272 336 forks on 2023-04-282 339 forks on 2023-04-292 341 forks on 2023-04-302 344 forks on 2023-05-012 344 forks on 2023-05-022 344 forks on 2023-05-032 361 forks on 2023-05-042 361 forks on 2023-05-052 371 forks on 2023-05-062 379 forks on 2023-05-072 389 forks on 2023-05-082 393 forks on 2023-05-092 396 forks on 2023-05-102 398 forks on 2023-05-112 400 forks on 2023-05-122 403 forks on 2023-05-132 404 forks on 2023-05-142 408 forks on 2023-05-152 409 forks on 2023-05-162 413 forks on 2023-05-172 413 forks on 2023-05-182 418 forks on 2023-05-192 421 forks on 2023-05-202 424 forks on 2023-05-212 425 forks on 2023-05-222 435 forks on 2023-05-232 437 forks on 2023-05-242 443 forks on 2023-05-252 451 forks on 2023-05-262 460 forks on 2023-05-272 464 forks on 2023-05-28
2.5kforks in total +600last 90 days
17 329 stars on 2023-02-2817 352 stars on 2023-03-0117 383 stars on 2023-03-0217 406 stars on 2023-03-0317 409 stars on 2023-03-0417 436 stars on 2023-03-0517 436 stars on 2023-03-0617 485 stars on 2023-03-0717 493 stars on 2023-03-0817 543 stars on 2023-03-0917 549 stars on 2023-03-1017 571 stars on 2023-03-1117 584 stars on 2023-03-1217 584 stars on 2023-03-1317 605 stars on 2023-03-1417 635 stars on 2023-03-1517 673 stars on 2023-03-1617 690 stars on 2023-03-1717 696 stars on 2023-03-1817 720 stars on 2023-03-1917 752 stars on 2023-03-2017 770 stars on 2023-03-2118 036 stars on 2023-03-2218 226 stars on 2023-03-2318 413 stars on 2023-03-2418 643 stars on 2023-03-2518 840 stars on 2023-03-2618 983 stars on 2023-03-2719 094 stars on 2023-03-2819 094 stars on 2023-03-2919 390 stars on 2023-03-3019 390 stars on 2023-03-3119 548 stars on 2023-04-0119 616 stars on 2023-04-0219 671 stars on 2023-04-0319 756 stars on 2023-04-0419 813 stars on 2023-04-0519 879 stars on 2023-04-0619 982 stars on 2023-04-0720 103 stars on 2023-04-0820 227 stars on 2023-04-0920 375 stars on 2023-04-1020 532 stars on 2023-04-1120 668 stars on 2023-04-1220 822 stars on 2023-04-1320 898 stars on 2023-04-1420 898 stars on 2023-04-1521 006 stars on 2023-04-1621 138 stars on 2023-04-1721 138 stars on 2023-04-1821 265 stars on 2023-04-1921 265 stars on 2023-04-2021 368 stars on 2023-04-2121 430 stars on 2023-04-2221 453 stars on 2023-04-2321 545 stars on 2023-04-2421 692 stars on 2023-04-2521 757 stars on 2023-04-2621 833 stars on 2023-04-2721 886 stars on 2023-04-2821 929 stars on 2023-04-2921 966 stars on 2023-04-3021 996 stars on 2023-05-0121 996 stars on 2023-05-0221 996 stars on 2023-05-0322 119 stars on 2023-05-0422 119 stars on 2023-05-0522 175 stars on 2023-05-0622 221 stars on 2023-05-0722 273 stars on 2023-05-0822 322 stars on 2023-05-0922 347 stars on 2023-05-1022 388 stars on 2023-05-1122 428 stars on 2023-05-1222 451 stars on 2023-05-1322 486 stars on 2023-05-1422 525 stars on 2023-05-1522 550 stars on 2023-05-1622 593 stars on 2023-05-1722 593 stars on 2023-05-1822 622 stars on 2023-05-1922 641 stars on 2023-05-2022 661 stars on 2023-05-2122 685 stars on 2023-05-2222 760 stars on 2023-05-2322 777 stars on 2023-05-2422 814 stars on 2023-05-2522 882 stars on 2023-05-2622 962 stars on 2023-05-2723 009 stars on 2023-05-28
23kstars in total +5.9klast 90 days
This is stars and forks stats for
/labmlai/annotated_deep_learning_paper_implementations repository. As of 28 May, 2023 this repository has
23009 stars and
2464 forks.
labml.ai Deep Learning Paper Implementations This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations, The website renders these as side-by-side formatted notes. We believe these would help you understand these algorithms better. We are actively maintaining this repo and adding new implementations almost weekly. for updates. Paper Implementations ✨ Transformers Multi-headed attention Transformer building...