channel string | post_ids list | n_posts int64 | dt_utc_first timestamp[ns, tz=UTC] | dt_utc_last timestamp[ns, tz=UTC] | html_unwrapped string | label string | priority_max int64 |
|---|---|---|---|---|---|---|---|
ai_machinelearning_big_data | [
1336,
1337
] | 2 | 2019-05-15T12:40:32Z | 2019-05-15T12:40:37Z | <b>TensorFlow Model Optimization Toolkit — Pruning API</b><br/><br/><a href="https://medium.com/tensorflow/tensorflow-model-optimization-toolkit-pruning-api-42cac9157a6a" rel="noopener" target="_blank">https://medium.com/tensorflow/tensorflow-model-optimization-toolkit-pruning-api-42cac9157a6a</a>
<b>A 2019 guide to 3... | other | 2 |
ai_machinelearning_big_data | [
1339
] | 1 | 2019-05-15T19:43:05Z | 2019-05-15T19:43:05Z | <b>Introducing Translatotron: An End-to-End Speech-to-Speech Translation Model</b><br/><br/><a href="http://ai.googleblog.com/2019/05/introducing-translatotron-end-to-end.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/05/introducing-translatotron-end-to-end.html</a> | tldr | 2 |
ai_machinelearning_big_data | [
1340
] | 1 | 2019-05-16T08:07:47Z | 2019-05-16T08:07:47Z | <b>How to Use Transfer Learning when Developing Convolutional Neural Network Models</b><br/><br/><a href="https://machinelearningmastery.com/how-to-use-transfer-learning-when-developing-convolutional-neural-network-models/" rel="noopener" target="_blank">https://machinelearningmastery.com/how-to-use-transfer-learning-w... | other | 2 |
ai_machinelearning_big_data | [
1341
] | 1 | 2019-05-16T17:20:48Z | 2019-05-16T17:20:48Z | <b>Structure of Neural Nets for Deep Learning</b><br/><br/><a href="https://www.youtube.com/watch?v=sx00s7nYmRM" rel="noopener" target="_blank">https://www.youtube.com/watch?v=sx00s7nYmRM</a> | other | 2 |
ai_machinelearning_big_data | [
1342,
1343
] | 2 | 2019-05-17T07:37:42Z | 2019-05-17T07:37:43Z | <b>PyTorch Internals</b><br/><br/><a href="http://web.mit.edu/~ezyang/Public/pytorch-internals.pdf" rel="noopener" target="_blank">http://web.mit.edu/~ezyang/Public/pytorch-internals.pdf</a>
<b>How to Develop a Convolutional Neural Network to Classify Photos of Dogs and Cats (with 97% accuracy)</b><br/><a href="https:... | other | 2 |
ai_machinelearning_big_data | [
1345
] | 1 | 2019-05-18T08:06:17Z | 2019-05-18T08:06:17Z | <b>How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions</b><br/>Article: <a href="https://arxiv.org/abs/1902.00508" rel="noopener" target="_blank">https://arxiv.org/abs/1902.00508</a> | tldr | 2 |
ai_machinelearning_big_data | [
1346
] | 1 | 2019-05-18T14:48:23Z | 2019-05-18T14:48:23Z | <b>OpenAI Five Beats World Champion DOTA2 Team 2-0</b><br/><a href="https://www.youtube.com/watch?v=tfb6aEUMC04" rel="noopener" target="_blank">https://www.youtube.com/watch?v=tfb6aEUMC04</a> | tldr | 2 |
ai_machinelearning_big_data | [
1347,
1348
] | 2 | 2019-05-18T22:04:56Z | 2019-05-18T22:06:25Z | <b>The Binary Extremes of Daenerys Targaryen</b><br/><br/><a href="https://towardsdatascience.com/the-binary-extremes-of-daenerys-targaryen-1c89502de92d" rel="noopener" target="_blank">https://towardsdatascience.com/the-binary-extremes-of-daenerys-targaryen-1c89502de92d</a>
<b>Generating Game of Thrones Characters Usi... | other | 2 |
ai_machinelearning_big_data | [
1349
] | 1 | 2019-05-19T08:47:51Z | 2019-05-19T08:47:51Z | <b>Deep Compressed Sensing</b><br/><br/><a href="https://arxiv.org/pdf/1905.06723.pdf" rel="noopener" target="_blank">https://arxiv.org/pdf/1905.06723.pdf</a> | other | 1 |
ai_machinelearning_big_data | [
1350
] | 1 | 2019-05-19T16:20:02Z | 2019-05-19T16:20:02Z | <a href="https://t.me/computer_science_and_programming" target="_blank">@computer_science_and_programming</a> :<br/><br/>Welcome to the world of: <br/>* <a href="?q=%23Artificial">#Artificial</a> <a href="?q=%23Intelligence">#Intelligence</a>, <br/>* <a href="?q=%23Deep">#Deep</a> <a href="?q=%23Learning">#Learning</a>... | other | 1 |
ai_machinelearning_big_data | [
1351,
1352
] | 2 | 2019-05-20T06:15:38Z | 2019-05-20T06:15:38Z | <b>Introducing FastBert — A simple Deep Learning library for BERT Models</b><br/><br/><a href="https://medium.com/huggingface/introducing-fastbert-a-simple-deep-learning-library-for-bert-models-89ff763ad384" rel="noopener" target="_blank">https://medium.com/huggingface/introducing-fastbert-a-simple-deep-learning-librar... | other | 2 |
ai_machinelearning_big_data | [
1355,
1356
] | 2 | 2019-05-22T07:14:27Z | 2019-05-22T07:14:30Z | <b>Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks </b><br/><br/><b>Article</b>: <a href="https://arxiv.org/pdf/1703.10593.pdf" rel="noopener" target="_blank">https://arxiv.org/pdf/1703.10593.pdf</a><br/><br/><b>PyTorch Code</b>: <a href="https://github.com/junyanz/pytorch-CycleGAN-and-p... | other | 2 |
ai_machinelearning_big_data | [
1357
] | 1 | 2019-05-22T18:16:03Z | 2019-05-22T18:16:03Z | <b>A Gentle Introduction to Object Recognition With Deep Learning</b><br/><a href="https://machinelearningmastery.com/object-recognition-with-deep-learning/" rel="noopener" target="_blank">https://machinelearningmastery.com/object-recognition-with-deep-learning/</a> | tldr | 2 |
ai_machinelearning_big_data | [
1358
] | 1 | 2019-05-23T07:50:23Z | 2019-05-23T07:50:23Z | <b>Few-Shot Adversarial Learning of Realistic Neural Talking Head Models</b><br/>Video: <a href="http://youtu.be/p1b5aiTrGzY" rel="noopener" target="_blank">youtu.be/p1b5aiTrGzY</a><br/>Paper: <a href="http://arxiv.org/abs/1905.08233" rel="noopener" target="_blank">arxiv.org/abs/1905.08233</a> | tldr | 2 |
ai_machinelearning_big_data | [
1360,
1361
] | 2 | 2019-05-23T17:45:47Z | 2019-05-23T17:46:01Z | <b>Data-Efficient Image Recognition with Contrastive Predictive Coding</b><br/><br/><b>Article</b>: <a href="https://arxiv.org/abs/1905.09272" rel="noopener" target="_blank">https://arxiv.org/abs/1905.09272</a>
<b>Moving Camera, Moving People: A Deep Learning Approach to Depth Prediction</b><br/><a href="http://ai.goo... | tldr | 2 |
ai_machinelearning_big_data | [
1362,
1363
] | 2 | 2019-05-24T08:00:53Z | 2019-05-24T08:00:54Z | <b>How to Perform Object Detection in Photographs Using Mask R-CNN with Keras</b><br/><a href="https://machinelearningmastery.com/how-to-perform-object-detection-in-photographs-with-mask-r-cnn-in-keras/" rel="noopener" target="_blank">https://machinelearningmastery.com/how-to-perform-object-detection-in-photographs-wit... | other | 1 |
ai_machinelearning_big_data | [
1364,
1366
] | 2 | 2019-05-24T21:39:50Z | 2019-05-24T21:40:43Z | <b>Estimators, Loss Functions, Optimizers —Core of ML Algorithms</b><br/><br/><a href="https://towardsdatascience.com/estimators-loss-functions-optimizers-core-of-ml-algorithms-d603f6b0161a" rel="noopener" target="_blank">https://towardsdatascience.com/estimators-loss-functions-optimizers-core-of-ml-algorithms-d603f6b0... | other | 2 |
ai_machinelearning_big_data | [
1367
] | 1 | 2019-05-25T08:23:45Z | 2019-05-25T08:23:45Z | <b>COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration</b><br/><br/><a href="https://arxiv.org/abs/1905.09275" rel="noopener" target="_blank">https://arxiv.org/abs/1905.09275</a> | tldr | 2 |
ai_machinelearning_big_data | [
1368,
1369
] | 2 | 2019-05-26T08:16:40Z | 2019-05-26T08:16:55Z | <b>illustrated Artificial Intelligence cheatsheets covering the content of the CS 221 class</b><br/><br/><b>Link</b>: <a href="https://stanford.edu/~shervine/teaching/cs-221/" rel="noopener" target="_blank">https://stanford.edu/~shervine/teaching/cs-221/</a><br/><b>Reflex-based models with Machine Learning</b>: <a href... | tldr | 1 |
ai_machinelearning_big_data | [
1370,
1371
] | 2 | 2019-05-27T08:49:39Z | 2019-05-27T08:49:51Z | <b>How to Perform Object Detection With YOLOv3 in Keras</b><br/><br/><a href="https://machinelearningmastery.com/how-to-perform-object-detection-with-yolov3-in-keras/" rel="noopener" target="_blank">https://machinelearningmastery.com/how-to-perform-object-detection-with-yolov3-in-keras/</a>
<b>Unsupervised Learning wi... | other | 2 |
ai_machinelearning_big_data | [
1372
] | 1 | 2019-05-28T09:31:00Z | 2019-05-28T09:31:00Z | <b>Augmented Neural ODEs</b><br/><br/><b>Github</b>: <a href="https://github.com/EmilienDupont/augmented-neural-odes" rel="noopener" target="_blank">https://github.com/EmilienDupont/augmented-neural-odes</a><br/><b>Article</b>: <a href="https://arxiv.org/abs/1904.01681" rel="noopener" target="_blank">https://arxiv.org/... | tldr | 2 |
ai_machinelearning_big_data | [
1373,
1374,
1375,
1376
] | 4 | 2019-05-29T07:47:46Z | 2019-05-29T07:48:33Z | <b>Arbitrary Style Transfer with Style-Attentional Networks</b><br/><br/><a href="https://dypark86.github.io/SANET/" rel="noopener" target="_blank">https://dypark86.github.io/SANET/</a>
<b>AlphaFold: Использование ИИ для научных открытий</b><br/><br/><a href="https://habr.com/ru/company/otus/blog/453848/" rel="noopene... | other | 2 |
ai_machinelearning_big_data | [
1378,
1379
] | 2 | 2019-05-31T08:23:26Z | 2019-05-31T08:23:28Z | <b>Multi-Sample Dropout for Accelerated Training and Better Generalization</b><br/><br/><b>Link</b>: <a href="https://arxiv.org/abs/1905.09788" rel="noopener" target="_blank">https://arxiv.org/abs/1905.09788</a>
<b>A Gentle Introduction to Deep Learning for Face Recognition</b><br/><br/><a href="https://machinelearnin... | other | 2 |
ai_machinelearning_big_data | [
1380
] | 1 | 2019-06-01T08:43:08Z | 2019-06-01T08:43:08Z | <b>InstaNAS: Instance-aware Neural Architecture Search</b><br/><br/><a href="https://hubert0527.github.io/InstaNAS/" rel="noopener" target="_blank">https://hubert0527.github.io/InstaNAS/</a> | tldr | 2 |
ai_machinelearning_big_data | [
1381,
1382
] | 2 | 2019-06-02T08:52:45Z | 2019-06-02T08:53:20Z | <b>Integrating TVM into PyTorch</b><br/><br/><a href="https://tvm.ai/2019/05/30/pytorch-frontend" rel="noopener" target="_blank">https://tvm.ai/2019/05/30/pytorch-frontend</a>
<a href="https://towardsdatascience.com/how-computers-see-intro-to-convolutional-neural-networks-8f67d28fa86a" onclick="return confirm('Open th... | other | 2 |
ai_machinelearning_big_data | [
1383
] | 1 | 2019-06-03T06:42:21Z | 2019-06-03T06:42:21Z | <b>How to Perform Face Detection with Deep Learning in Keras<br/></b><br/><a href="https://machinelearningmastery.com/how-to-perform-face-detection-with-classical-and-deep-learning-methods-in-python-with-keras/" rel="noopener" target="_blank">https://machinelearningmastery.com/how-to-perform-face-detection-with-classic... | tldr | 2 |
ai_machinelearning_big_data | [
1384
] | 1 | 2019-06-04T07:54:01Z | 2019-06-04T07:54:01Z | <b>Learning Perceptually-Aligned Representations via Adversarial Robustness</b><br/><br/><b>Article</b>: <a href="https://arxiv.org/abs/1906.00945" rel="noopener" target="_blank">https://arxiv.org/abs/1906.00945</a><br/><b>Github</b>: <a href="https://github.com/MadryLab/robust_representations" rel="noopener" target="_... | tldr | 2 |
ai_machinelearning_big_data | [
1385
] | 1 | 2019-06-04T22:22:36Z | 2019-06-04T22:22:36Z | <b>DeepMind Made a Math Test For Neural Networks</b><br/><br/><a href="https://www.youtube.com/watch?v=f9z1I_81_Q4" rel="noopener" target="_blank">https://www.youtube.com/watch?v=f9z1I_81_Q4</a> | other | 1 |
ai_machinelearning_big_data | [
1386
] | 1 | 2019-06-05T08:30:16Z | 2019-06-05T08:30:16Z | <b>Introducing TensorNetwork, an Open Source Library for Efficient Tensor Calculations</b><br/><br/><a href="http://ai.googleblog.com/2019/06/introducing-tensornetwork-open-source.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/06/introducing-tensornetwork-open-source.html</a> | other | 1 |
ai_machinelearning_big_data | [
1387,
1388
] | 2 | 2019-06-06T07:34:08Z | 2019-06-06T07:34:10Z | <b>Free COURSE</b>. <b>CS Deep Reinforcement Learning UC Berkeley</b> <br/><br/><b>Video Lectures</b>: <a href="https://www.youtube.com/playlist?list=PLkFD6_40KJIxJM" rel="noopener" target="_blank">https://www.youtube.com/playlist?list=PLkFD6_40KJIxJM</a>..<br/><br/><b>Lecture Material</b>: <a href="http://rail.eecs.... | other | 2 |
ai_machinelearning_big_data | [
1389,
1390,
1391
] | 3 | 2019-06-07T07:35:56Z | 2019-06-07T07:36:01Z | <b>Отличаем символы от мусора: как построить устойчивые нейросетевые модели в задачах OCR</b><br/><a href="https://habr.com/ru/company/abbyy/blog/449524/" rel="noopener" target="_blank">https://habr.com/ru/company/abbyy/blog/449524/</a>
<b>How to Develop a Face Recognition System Using FaceNet in Keras</b><br/><br/><a... | tldr | 2 |
ai_machinelearning_big_data | [
1392,
1393
] | 2 | 2019-06-08T07:28:28Z | 2019-06-08T07:28:29Z | <b>Implementing a Simple Auto-Encoder in Tensorflow</b><br/><br/><a href="https://medium.com/@barp.edoardo/implementing-a-simple-auto-encoder-in-tensorflow-1181751f202" rel="noopener" target="_blank">https://medium.com/@barp.edoardo/implementing-a-simple-auto-encoder-in-tensorflow-1181751f202</a>
<b>Mesh R-CNN</b><br/... | tldr | 2 |
ai_machinelearning_big_data | [
1394
] | 1 | 2019-06-09T08:14:09Z | 2019-06-09T08:14:09Z | <b>DL-workshop-series</b><br/><br/><b>Github</b>: <a href="https://github.com/Machine-Learning-Tokyo/DL-workshop-series" rel="noopener" target="_blank">https://github.com/Machine-Learning-Tokyo/DL-workshop-series</a><br/><br/><b>Link to the presentation</b>: <a href="https://drive.google.com/open?id=1sXztx3E9M3G0BIRLh6... | other | 2 |
ai_machinelearning_big_data | [
1395
] | 1 | 2019-06-09T22:29:34Z | 2019-06-09T22:29:34Z | <b>One-Shot Learning with Siamese Networks, Contrastive Loss, and Triplet Loss for Face Recognition</b><br/><br/><a href="https://machinelearningmastery.com/one-shot-learning-with-siamese-networks-contrastive-and-triplet-loss-for-face-recognition/" rel="noopener" target="_blank">https://machinelearningmastery.com/one-s... | tldr | 2 |
ai_machinelearning_big_data | [
1396
] | 1 | 2019-06-10T17:12:41Z | 2019-06-10T17:12:41Z | <b>Deep Learning Frameworks 2019 | Which Deep Learning Framework To Use | Deep Learning </b><br/><br/><a href="https://www.youtube.com/watch?v=6ryPbOfz03U" rel="noopener" target="_blank">https://www.youtube.com/watch?v=6ryPbOfz03U</a> | other | 2 |
ai_machinelearning_big_data | [
1398,
1400
] | 2 | 2019-06-11T07:25:50Z | 2019-06-11T07:25:55Z | <b>Google at ICML 2019</b><br/><br/><a href="http://ai.googleblog.com/2019/06/google-at-icml-2019.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/06/google-at-icml-2019.html</a>
<b>Disentangling Disentanglement in Variational Autoencoders</b><br/><br/><b>Article</b>.: <a href="http://proceedings.mlr... | tldr | 2 |
ai_machinelearning_big_data | [
1401,
1402
] | 2 | 2019-06-12T07:46:36Z | 2019-06-12T07:46:41Z | <a href="https://machinelearningmastery.com/resources-for-getting-started-with-generative-adversarial-networks/" onclick="return confirm('Open this link?\n\n'+this.href);" rel="noopener" target="_blank">Best Resources for Getting Started With Generative Adversarial Networks (GANs)</a>
<b>CVPR 2019</b><br/><br/> <b>Pap... | other | 2 |
ai_machinelearning_big_data | [
1403,
1404
] | 2 | 2019-06-13T08:12:00Z | 2019-06-13T08:12:04Z | <b>Deep Neural Networks from scratch in Python</b><br/><br/><a href="https://towardsdatascience.com/deep-neural-networks-from-scratch-in-python-451f07999373" rel="noopener" target="_blank">https://towardsdatascience.com/deep-neural-networks-from-scratch-in-python-451f07999373</a>
<b>DEEP LEARNING TOOLS</b><br/><br/><a... | other | 2 |
ai_machinelearning_big_data | [
1405
] | 1 | 2019-06-14T08:16:53Z | 2019-06-14T08:16:53Z | <a href="https://machinelearningmastery.com/impressive-applications-of-generative-adversarial-networks/" onclick="return confirm('Open this link?\n\n'+this.href);" rel="noopener" target="_blank">18 Impressive Applications of Generative Adversarial Networks (GANs)<br/></a>A Generative Adversarial Network, or GAN, is a t... | other | 2 |
ai_machinelearning_big_data | [
1406
] | 1 | 2019-06-15T07:55:45Z | 2019-06-15T07:55:45Z | <b>Applying AutoML to Transformer Architectures</b><br/><br/><a href="http://ai.googleblog.com/2019/06/applying-automl-to-transformer.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/06/applying-automl-to-transformer.html</a> | tldr | 2 |
ai_machinelearning_big_data | [
1407
] | 1 | 2019-06-16T06:10:58Z | 2019-06-16T06:10:58Z | <b>Language, trees, and geometry in neural networks</b><br/><br/><a href="https://pair-code.github.io/interpretability/bert-tree/" rel="noopener" target="_blank">https://pair-code.github.io/interpretability/bert-tree/</a> | tldr | 2 |
ai_machinelearning_big_data | [
1408,
1409,
1410
] | 3 | 2019-06-17T07:50:36Z | 2019-06-17T07:50:42Z | <b>Как мы создали систему оповещения о ядерной угрозе</b><br/><a href="https://habr.com/ru/post/452356/" rel="noopener" target="_blank">https://habr.com/ru/post/452356/</a>
<b>A Gentle Introduction to Generative Adversarial Networks (GANs)</b><br/><br/><a href="https://machinelearningmastery.com/what-are-generative-ad... | other | 2 |
ai_machinelearning_big_data | [
1411,
1412
] | 2 | 2019-06-18T08:26:52Z | 2019-06-18T08:27:10Z | <b>Google at CVPR 2019</b><br/><br/><a href="http://ai.googleblog.com/2019/06/google-at-cvpr-2019.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/06/google-at-cvpr-2019.html</a>
<b>Weight Agnostic Neural Networks</b><br/><a href="https://weightagnostic.github.io/" rel="noopener" target="_blank">http... | other | 2 |
ai_machinelearning_big_data | [
1413
] | 1 | 2019-06-19T08:57:16Z | 2019-06-19T08:57:16Z | <b>Bayesian Deep Learning Benchmarks</b><br/><br/><a href="https://github.com/OATML/bdl-benchmarks" rel="noopener" target="_blank">https://github.com/OATML/bdl-benchmarks</a> | tldr | 2 |
ai_machinelearning_big_data | [
1414,
1415
] | 2 | 2019-06-20T08:08:01Z | 2019-06-20T08:08:11Z | <b>A collection of various deep learning architectures, models, and tips</b><br/><a href="https://github.com/rasbt/deeplearning-models" rel="noopener" target="_blank">https://github.com/rasbt/deeplearning-models</a>
<b>Tips for Training Stable Generative Adversarial Networks</b><br/><br/><a href="https://machinelearni... | other | 2 |
ai_machinelearning_big_data | [
1416
] | 1 | 2019-06-20T18:27:28Z | 2019-06-20T18:27:28Z | <b>Artificial Intelligence In Healthcare | Examples Of AI In Healthcare</b><br/><br/><a href="https://www.youtube.com/watch?v=j6EB9HO6acE" rel="noopener" target="_blank">https://www.youtube.com/watch?v=j6EB9HO6acE</a> | other | 2 |
ai_machinelearning_big_data | [
1417,
1418
] | 2 | 2019-06-21T07:03:40Z | 2019-06-21T07:06:22Z | <b>How to Implement GAN Hacks to Train Stable Generative Adversarial Networks</b><br/><br/><a href="https://machinelearningmastery.com/how-to-code-generative-adversarial-network-hacks/" rel="noopener" target="_blank">https://machinelearningmastery.com/how-to-code-generative-adversarial-network-hacks/</a>
<b>Stand-Alon... | other | 2 |
ai_machinelearning_big_data | [
1419
] | 1 | 2019-06-22T08:01:30Z | 2019-06-22T08:01:30Z | <b>The 2019 IEEE Conference on Computer Vision and Pattern</b> <b>Recognition</b><br/><br/>Be<b>st Papers<br/><br/></b><a href="https://syncedreview.com/2019/06/18/cvpr-2019-attracts-9k-attendees-best-papers-announced-imagenet-honoured-10-years-later/" rel="noopener" target="_blank">https://syncedreview.com/2019/06/18/... | other | 2 |
ai_machinelearning_big_data | [
1421
] | 1 | 2019-06-22T20:11:53Z | 2019-06-22T20:11:53Z | <b>We Can All Become Video Game Characters With This AI</b><br/><br/><b>Video</b>: <a href="https://www.youtube.com/watch?v=Y73iUAh56iI" rel="noopener" target="_blank">https://www.youtube.com/watch?v=Y73iUAh56iI</a><br/><br/><b>Paper</b>: <a href="https://arxiv.org/abs/1904.08379" rel="noopener" target="_blank">https:/... | tldr | 2 |
ai_machinelearning_big_data | [
1422
] | 1 | 2019-06-23T07:44:03Z | 2019-06-23T07:44:03Z | <b>Adapters: A Compact and Extensible Transfer Learning Method for NLP</b><br/><br/><a href="https://medium.com/dair-ai/adapters-a-compact-and-extensible-transfer-learning-method-for-nlp-6d18c2399f62" rel="noopener" target="_blank">https://medium.com/dair-ai/adapters-a-compact-and-extensible-transfer-learning-method-fo... | tldr | 2 |
ai_machinelearning_big_data | [
1423
] | 1 | 2019-06-23T14:23:13Z | 2019-06-23T14:23:13Z | <b>Machine Learning Free Course with TensorFlow APIs by Google</b><br/><br/><a href="https://developers.google.com/machine-learning/crash-course/" rel="noopener" target="_blank">https://developers.google.com/machine-learning/crash-course/</a> | other | 2 |
ai_machinelearning_big_data | [
1424
] | 1 | 2019-06-24T07:45:20Z | 2019-06-24T07:45:20Z | <b>A Gentle Introduction to Upsampling and Transpose Convolution Layers for GANs</b><br/><br/><a href="https://machinelearningmastery.com/upsampling-and-transpose-convolution-layers-for-generative-adversarial-networks/" onclick="return confirm('Open this link?\n\n'+this.href);" rel="noopener" target="_blank">Generative... | other | 2 |
ai_machinelearning_big_data | [
1426,
1427
] | 2 | 2019-06-25T07:48:06Z | 2019-06-25T07:48:08Z | <b>Deep Set Prediction Networks</b><br/><a href="https://arxiv.org/abs/1906.06565" rel="noopener" target="_blank">https://arxiv.org/abs/1906.06565</a>
<b>TensorFlow in Practice Specialization</b><br/><br/><a href="https://www.coursera.org/specializations/tensorflow-in-practice" onclick="return confirm('Open this link?... | other | 2 |
ai_machinelearning_big_data | [
1428
] | 1 | 2019-06-25T22:54:13Z | 2019-06-25T22:54:13Z | <b>Innovations in Graph Representation Learning</b><br/><br/><a href="http://ai.googleblog.com/2019/06/innovations-in-graph-representation.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/06/innovations-in-graph-representation.html</a> | tldr | 2 |
ai_machinelearning_big_data | [
1429
] | 1 | 2019-06-27T21:47:04Z | 2019-06-27T21:47:04Z | <b>Boosting Machine Learning Tutorial | Gradient Boosting, XGBoost</b><br/><br/><a href="https://www.youtube.com/watch?v=kho6oANGu_A" rel="noopener" target="_blank">https://www.youtube.com/watch?v=kho6oANGu_A</a> | other | 2 |
ai_machinelearning_big_data | [
1430,
1431
] | 2 | 2019-06-28T08:53:23Z | 2019-06-28T08:57:58Z | <b>Data Augmentation Strategies for Object Detection</b><br/><br/><b>Article</b>: <a href="https://arxiv.org/abs/1906.11172" rel="noopener" target="_blank">https://arxiv.org/abs/1906.11172</a><br/><br/><b>GIthub</b>: <a href="https://github.com/tensorflow/tpu/tree/master/models/official/detection" rel="noopener" target... | other | 2 |
ai_machinelearning_big_data | [
1432
] | 1 | 2019-06-28T22:31:39Z | 2019-06-28T22:31:39Z | <b>Announcing the YouTube-8M Segments Dataset</b><br/><br/><a href="http://ai.googleblog.com/2019/06/announcing-youtube-8m-segments-dataset.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/06/announcing-youtube-8m-segments-dataset.html</a> | tldr | 2 |
ai_machinelearning_big_data | [
1433,
1434
] | 2 | 2019-06-29T08:43:48Z | 2019-06-29T08:44:37Z | <b>StarAi: FREE</b> <b>Deep Reinforcement Learning Course <br/><br/></b><a href="https://www.starai.io/course/" rel="noopener" target="_blank">h<b>t</b>tps://www.starai.io/course/</a>
<b>How to Develop a GAN for Generating Handwritten Digits</b><br/><br/><a href="https://machinelearningmastery.com/how-to-develop-a-gen... | other | 2 |
ai_machinelearning_big_data | [
1435
] | 1 | 2019-06-30T07:45:41Z | 2019-06-30T07:45:41Z | <b>FREE COURSE Intro to TensorFlow for Deep Learning</b><br/><br/>This course is a practical approach to deep learning for software developers<br/><br/><a href="https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187" rel="noopener" target="_blank">https://www.udacity.com/course/intro-to-tensorflow-... | other | 2 |
ai_machinelearning_big_data | [
1436,
1437
] | 2 | 2019-07-01T08:18:07Z | 2019-07-01T08:18:08Z | <b>How to Develop a GAN for Generating Small Color Photographs of Objects</b><br/><br/><a href="https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-a-cifar-10-small-object-photographs-from-scratch/" rel="noopener" target="_blank">https://machinelearningmastery.com/how-to-develop-a-gen... | other | 2 |
ai_machinelearning_big_data | [
1439
] | 1 | 2019-07-01T16:54:06Z | 2019-07-01T16:54:06Z | <b>Deep Sketch-Based Modeling of Man-Made Shapes<br/></b><br/><a href="https://arxiv.org/abs/1906.12337" rel="noopener" target="_blank">https://arxiv.org/abs/1906.12337</a> | tldr | 2 |
ai_machinelearning_big_data | [
1440
] | 1 | 2019-07-02T07:27:38Z | 2019-07-02T07:27:38Z | <b>An Introduction to Super Resolution using Deep Learning</b><br/><br/><a href="https://medium.com/beyondminds/an-introduction-to-super-resolution-using-deep-learning-f60aff9a499d" rel="noopener" target="_blank">https://medium.com/beyondminds/an-introduction-to-super-resolution-using-deep-learning-f60aff9a499d</a> | tldr | 2 |
ai_machinelearning_big_data | [
1441
] | 1 | 2019-07-03T06:23:50Z | 2019-07-03T06:23:50Z | <b>Plot of Randomly Generated Faces Using the Loaded GAN Model</b><br/>How to Explore the GAN Latent Space When Generating Faces<br/><br/><a href="https://machinelearningmastery.com/how-to-interpolate-and-perform-vector-arithmetic-with-faces-using-a-generative-adversarial-network/" rel="noopener" target="_blank">https:... | other | 2 |
ai_machinelearning_big_data | [
1442
] | 1 | 2019-07-04T07:45:16Z | 2019-07-04T07:45:16Z | <b>Facebook is open-sourcing DLRM — a state-of-the-art deep learning recommendation model to help AI researchers and the systems and hardware community develop new, more efficient ways to work with categorical data.<br/><br/><br/>fb</b>: <a href="https://ai.facebook.com/blog/dlrm-an-advanced-open-source-deep-learning-... | tldr | 2 |
ai_machinelearning_big_data | [
1444
] | 1 | 2019-07-05T07:38:35Z | 2019-07-05T07:38:35Z | <b>PyTorchPipe</b><br/><br/>PyTo<b>rchPipe (PTP) is a component-oriented framework that facilitates development of computational multi-modal pipelines and comparison of diverse neural network-based models.<br/><br/></b><a href="https://github.com/IBM/pytorchpipe" rel="noopener" target="_blank">https://github.com/IBM/py... | other | 1 |
ai_machinelearning_big_data | [
1445
] | 1 | 2019-07-06T07:30:33Z | 2019-07-06T07:30:33Z | <b>How to Develop a Conditional GAN (cGAN) From Scratch</b><br/><br/><a href="https://machinelearningmastery.com/how-to-develop-a-conditional-generative-adversarial-network-from-scratch/" onclick="return confirm('Open this link?\n\n'+this.href);" rel="noopener" target="_blank">Generative Adversarial Networks, or GANs, ... | other | 2 |
ai_machinelearning_big_data | [
1446
] | 1 | 2019-07-06T16:23:55Z | 2019-07-06T16:23:55Z | Check the data science channel there you will find a lot of articles, links and advanced researches .<br/>Join and learn hot topics of data science <a href="https://t.me/opendatascience" target="_blank">@opendatascience</a> | other | 2 |
ai_machinelearning_big_data | [
1447
] | 1 | 2019-07-07T06:02:05Z | 2019-07-07T06:02:05Z | <b>Literature of Deep Learning for Graphs</b><br/>This is a paper list about deep learning for graphs.<br/><br/><a href="https://github.com/DeepGraphLearning/LiteratureDL4Graph" rel="noopener" target="_blank">https://github.com/DeepGraphLearning/LiteratureDL4Graph</a> | other | 2 |
ai_machinelearning_big_data | [
1448,
1449
] | 2 | 2019-07-08T08:16:33Z | 2019-07-08T08:16:34Z | <b>Rank-consistent Ordinal Regression for Neural Networks</b><br/><br/><b>Article</b>: <a href="https://arxiv.org/abs/1901.07884" rel="noopener" target="_blank">https://arxiv.org/abs/1901.07884</a><br/><br/><b>PyTorch</b>: <a href="https://github.com/Raschka-research-group/coral-cnn" rel="noopener" target="_blank">http... | other | 2 |
ai_machinelearning_big_data | [
1450
] | 1 | 2019-07-09T07:55:31Z | 2019-07-09T07:55:31Z | <b>Neural Architecture Search at CVPR 2019</b><br/><br/><a href="https://drsleep.github.io/NAS-at-CVPR-2019/" rel="noopener" target="_blank">https://drsleep.github.io/NAS-at-CVPR-2019/</a> | other | 1 |
ai_machinelearning_big_data | [
1451
] | 1 | 2019-07-09T17:43:36Z | 2019-07-09T17:43:36Z | <b>Predicting the Generalization Gap in Deep Neural Networks</b><br/><br/><a href="http://ai.googleblog.com/2019/07/predicting-generalization-gap-in-deep.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/07/predicting-generalization-gap-in-deep.html</a> | tldr | 2 |
ai_machinelearning_big_data | [
1452,
1453
] | 2 | 2019-07-10T08:01:40Z | 2019-07-10T08:01:41Z | <b>Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data</b><br/><br/><b>Article</b>: <a href="https://arxiv.org/abs/1907.04240" rel="noopener" target="_blank">https://arxiv.org/abs/1907.04240</a><br/><b>PDF</b>: <a href="https://arxiv.org/pdf/1907.04240.pdf" rel="noopener" target="_bl... | tldr | 2 |
ai_machinelearning_big_data | [
1454
] | 1 | 2019-07-11T07:36:58Z | 2019-07-11T07:36:58Z | <b>Advancing Semi-supervised Learning with Unsupervised Data Augmentation</b><br/><br/><a href="http://ai.googleblog.com/2019/07/advancing-semi-supervised-learning-with.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/07/advancing-semi-supervised-learning-with.html</a> | tldr | 2 |
ai_machinelearning_big_data | [
1455
] | 1 | 2019-07-12T09:09:41Z | 2019-07-12T09:09:41Z | <b>TRFL a library of reinforcement learning building blocks By the Research Engineering team at DeepMind</b>:<br/><br/><a href="https://github.com/deepmind/trfl" rel="noopener" target="_blank">https://github.com/deepmind/trfl</a> | tldr | 2 |
ai_machinelearning_big_data | [
1456,
1457
] | 2 | 2019-07-13T09:05:00Z | 2019-07-13T09:06:09Z | <b>Multilingual Universal Sentence Encoder for Semantic Retrieval</b><br/><a href="http://ai.googleblog.com/2019/07/multilingual-universal-sentence-encoder.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/07/multilingual-universal-sentence-encoder.html</a>
<b>How to Code the GAN Training Algorithm an... | other | 2 |
ai_machinelearning_big_data | [
1458,
1459
] | 2 | 2019-07-14T08:16:34Z | 2019-07-14T08:16:36Z | <b>An implementation of the BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer (Interspeech 2019)<br/><br/>Article</b>: <a href="https://arxiv.org/pdf/1907.03040.pdf" rel="noopener" target="_blank">https://arxiv.org/pdf/1907.03040.pdf</a><br/><br/><b>Github... | tldr | 2 |
ai_machinelearning_big_data | [
1460,
1461
] | 2 | 2019-07-15T08:23:10Z | 2019-07-15T08:23:51Z | <b>Simple Deep Q Network w/Pytorch</b>: <a href="https://youtu.be/UlJzzLYgYoE" rel="noopener" target="_blank">https://youtu.be/UlJzzLYgYoE</a><br/><b>Reinforcement Learning Crash Course</b>: <a href="https://youtu.be/sOiNMW8k4T0" rel="noopener" target="_blank">https://youtu.be/sOiNMW8k4T0</a><br/><b>Policy Gradients w/... | other | 2 |
ai_machinelearning_big_data | [
1466,
1467
] | 2 | 2019-07-15T21:09:38Z | 2019-07-15T21:09:39Z | <b>New </b><a href="http://fast.ai/" rel="noopener" target="_blank"><b>fast.ai</b></a><b> course: A Code-First Introduction to Natural Language Processing</b><br/><br/><a href="https://www.fast.ai/2019/07/08/fastai-nlp/" rel="noopener" target="_blank">https://www.fast.ai/2019/07/08/fastai-nlp/</a><br/><br/><b>Github</b... | other | 2 |
ai_machinelearning_big_data | [
1469
] | 1 | 2019-07-17T06:57:45Z | 2019-07-17T06:57:45Z | <b>Natural Adversarial Examples</b><br/><br/><br/><a href="https://arxiv.org/abs/1907.07174" rel="noopener" target="_blank">https://arxiv.org/abs/1907.07174</a> | tldr | 2 |
ai_machinelearning_big_data | [
1471,
1472
] | 2 | 2019-07-17T09:59:02Z | 2019-07-17T09:59:03Z | <b>Learning Representations by Maximizing Mutual Information Across Views</b><br/><br/><b>Article</b>: <a href="https://arxiv.org/abs/1906.00910" rel="noopener" target="_blank">https://arxiv.org/abs/1906.00910</a>
<b>How to Develop a Wasserstein Generative Adversarial Network (WGAN) From Scratch</b><br/><br/><a href="... | tldr | 2 |
ai_machinelearning_big_data | [
1473
] | 1 | 2019-07-17T18:57:43Z | 2019-07-17T18:57:43Z | <b>Parrotron: New Research into Improving Verbal Communication for People with Speech Impairments</b><br/><br/><a href="http://ai.googleblog.com/2019/07/parrotron-new-research-into-improving.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/07/parrotron-new-research-into-improving.html</a> | tldr | 2 |
ai_machinelearning_big_data | [
1474
] | 1 | 2019-07-18T10:57:15Z | 2019-07-18T10:57:15Z | <b>StanfordNLP 0.2.0 - Python NLP Library for Many Human Languages</b><br/><br/><a href="https://stanfordnlp.github.io/stanfordnlp/" rel="noopener" target="_blank">https://stanfordnlp.github.io/stanfordnlp/</a> | tldr | 2 |
ai_machinelearning_big_data | [
1475
] | 1 | 2019-07-19T06:58:51Z | 2019-07-19T06:58:51Z | <i class="emoji" style="background-image:url('//telegram.org/img/emoji/40/F09F94A5.png')"><b>🔥</b></i><b>PyTorch Adds New Ecosystem Projects for Encrypted AI and Quantum Computing, Expands PyTorch Hub</b><br/><br/><a href="https://pytorch.org/blog/pytorch-ecosystem/" rel="noopener" target="_blank">https://pytorch.org/... | other | 2 |
ai_machinelearning_big_data | [
1476
] | 1 | 2019-07-19T18:04:56Z | 2019-07-19T18:04:56Z | <b>Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathology</b><br/><br/><a href="http://ai.googleblog.com/2019/07/building-smily-human-centric-similar.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/07/building-smily-human-centric-similar.html</a> | tldr | 2 |
ai_machinelearning_big_data | [
1477
] | 1 | 2019-07-20T08:54:02Z | 2019-07-20T08:54:02Z | <b>On the relation between Loss Functions and T-Norms<br/></b><br/><a href="https://arxiv.org/abs/1907.07904" rel="noopener" target="_blank">https://arxiv.org/abs/1907.07904</a> | tldr | 2 |
ai_machinelearning_big_data | [
1479
] | 1 | 2019-07-22T08:49:38Z | 2019-07-22T08:49:38Z | <b>How to Develop an Information Maximizing GAN (InfoGAN) in Keras<br/></b><br/><a href="https://machinelearningmastery.com/how-to-develop-an-information-maximizing-generative-adversarial-network-infogan-in-keras/" rel="noopener" target="_blank">https://machinelearningmastery.com/how-to-develop-an-information-maximizin... | tldr | 2 |
ai_machinelearning_big_data | [
1480,
1481
] | 2 | 2019-07-23T09:10:25Z | 2019-07-23T09:10:26Z | <b>Awesome production machine learning</b><br/><br/>This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning.<br/><br/><a href="https://github.com/EthicalML/awesome-production-machine-learning" rel="noopener"... | other | 2 |
ai_machinelearning_big_data | [
1483,
1484
] | 2 | 2019-07-23T21:54:36Z | 2019-07-23T21:54:37Z | <b>A Deep Dive into NLP with PyTorch</b><br/><a href="https://www.youtube.com/watch?v=4jROlXH9Nvc" rel="noopener" target="_blank">https://www.youtube.com/watch?v=4jROlXH9Nvc</a>
<b>k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations</b><br/><br/><a href="https://arxiv.org/abs/1907.09425" ... | other | 2 |
ai_machinelearning_big_data | [
1485,
1486
] | 2 | 2019-07-24T07:52:57Z | 2019-07-24T07:56:32Z | <b>Mapillary Research: Seamless Scene Segmentation and In-Place Activated BatchNorm</b><br/><br/><a href="https://pytorch.org/blog/mapillary-research/" rel="noopener" target="_blank">https://pytorch.org/blog/mapillary-research/</a>
<a href="http://Plotly.py/" rel="noopener" target="_blank"><b>Plotly.py</b></a><b> 4.0 ... | other | 2 |
ai_machinelearning_big_data | [
1488,
1489
] | 2 | 2019-07-25T07:57:39Z | 2019-07-25T07:57:40Z | <b>How to Implement a Semi-Supervised GAN (SGAN) From Scratch in Keras</b><br/><br/><a href="https://machinelearningmastery.com/semi-supervised-generative-adversarial-network/" rel="noopener" target="_blank">https://machinelearningmastery.com/semi-supervised-generative-adversarial-network/</a>
<b>TensorFlow Lite for M... | other | 2 |
ai_machinelearning_big_data | [
1490,
1491
] | 2 | 2019-07-26T08:01:42Z | 2019-07-26T08:01:44Z | <b>New Open Source GPU-Accelerated Atari Emulator for Reinforcement Learning Now Available</b><br/><br/><a href="https://news.developer.nvidia.com/new-open-source-gpu-accelerated-atari-emulator-for-reinforcement-learning-now-available/" rel="noopener" target="_blank">https://news.developer.nvidia.com/new-open-source-gp... | tldr | 2 |
ai_machinelearning_big_data | [
1492
] | 1 | 2019-07-27T08:13:21Z | 2019-07-27T08:13:21Z | <b>How to Develop a Least Squares Generative Adversarial Network (LSGAN) in Keras</b><br/><br/><a href="https://machinelearningmastery.com/least-squares-generative-adversarial-network/" rel="noopener" target="_blank">https://machinelearningmastery.com/least-squares-generative-adversarial-network/</a> | other | 2 |
ai_machinelearning_big_data | [
1494
] | 1 | 2019-07-28T08:06:32Z | 2019-07-28T08:06:32Z | <b>Y-Autoencoders: disentangling latent representations via sequential-encoding</b><br/><br/><b>Article</b>: <a href="https://arxiv.org/abs/1907.10949" rel="noopener" target="_blank">https://arxiv.org/abs/1907.10949</a><br/><br/><b>GitHub</b>: <a href="https://github.com/mpatacchiola/Y-AE" rel="noopener" target="_blank... | tldr | 2 |
ai_machinelearning_big_data | [
1495
] | 1 | 2019-07-29T07:23:13Z | 2019-07-29T07:23:13Z | <b>Google at ACL 2019</b><br/><br/><a href="http://ai.googleblog.com/2019/07/google-at-acl-2019.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/07/google-at-acl-2019.html</a> | tldr | 2 |
ai_machinelearning_big_data | [
1496
] | 1 | 2019-07-29T19:00:36Z | 2019-07-29T19:00:36Z | <b>Robust Neural Machine Translation</b><br/><br/><a href="http://ai.googleblog.com/2019/07/robust-neural-machine-translation.html" rel="noopener" target="_blank">http://ai.googleblog.com/2019/07/robust-neural-machine-translation.html</a> | tldr | 2 |
ai_machinelearning_big_data | [
1498
] | 1 | 2019-07-30T06:41:18Z | 2019-07-30T06:41:18Z | <b>A 2019 Guide to Semantic Segmentation</b><br/><a href="https://heartbeat.fritz.ai/a-2019-guide-to-semantic-segmentation-ca8242f5a7fc" rel="noopener" target="_blank">https://heartbeat.fritz.ai/a-2019-guide-to-semantic-segmentation-ca8242f5a7fc</a> | other | 2 |
ai_machinelearning_big_data | [
1499
] | 1 | 2019-07-30T08:30:21Z | 2019-07-30T08:30:21Z | Pix2Pix GAN Translation of Product<br/><br/>Sketches of Shoes to Photographs<br/>A Gentle Introduction to Pix2Pix Generative Adversarial Network<br/><br/><a href="https://machinelearningmastery.com/a-gentle-introduction-to-pix2pix-generative-adversarial-network/" rel="noopener" target="_blank">https://machinelearningma... | other | 2 |
ai_machinelearning_big_data | [
1500
] | 1 | 2019-07-31T08:46:48Z | 2019-07-31T08:46:48Z | <b>FixRes is a simple method for fixing the train-test resolution discrepancy. It can improve the performance of any convolutional neural network architecture.</b><br/><br/><b>Github</b>: <a href="https://github.com/facebookresearch/FixRes" rel="noopener" target="_blank">https://github.com/facebookresearch/FixRes</a><b... | tldr | 2 |
ai_machinelearning_big_data | [
1501,
1502
] | 2 | 2019-08-01T10:43:19Z | 2019-08-01T10:44:18Z | <b>EfficientNets</b><br/><a href="https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet" rel="noopener" target="_blank">https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet</a>
<b>How to Implement Pix2Pix GAN Models From Scratch With Keras</b><br/><br/><a href="https://machin... | other | 2 |
ai_machinelearning_big_data | [
1503
] | 1 | 2019-08-01T21:41:13Z | 2019-08-01T21:41:13Z | <b>MNIST-GAN: Detailed step by step explanation & implementation in code</b><br/><br/><a href="https://medium.com/@garimanishad/mnist-gan-detailed-step-by-step-explanation-implementation-in-code-ecc93b22dc60" rel="noopener" target="_blank">https://medium.com/@garimanishad/mnist-gan-detailed-step-by-step-explanation... | other | 2 |
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