#security #smart_contracts #framework
https://zeppelin.solutions/

#ml #framework #comparison #vs #apache_spark #python
https://skymind.ai/wiki/comparison-frameworks-dl4j-tensorflow-pytorch

#blockchain #scala #tutorial #framework
https://blog.knoldus.com/scorex-a-modular-blockchain-scala-framework/

#scala #java #benchmarks #performance #framework #web #cloud
https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=json&l=xan3hb-1

#unicorn #statistics #programming_language #java #python #kotlin #golang #scala #cpp #rust #framework #javascript
https://www.codingdojo.com/blog/unicorn-languages-report

#starlette #web_framework #framework #python #overview #vs #blacksheep #sanic #fastAPI #klein #quart #intro
https://www.youtube.com/watch?v=y6lFcWtObgM

#paper #2k20 #contrastive #self_supervised_learning #dl #ml #framework #vision_problem #vision #data_argumentation #nonlinear_transformation #imageNet #SimCLR #resNet50 #alexNet #vs #benchmarks #generative_approch #vs #descriminative_approch #mlp #relu #semi_supervised_learning
https://arxiv.org/abs/2002.05709

An illustration of the proposed SimCLR framework. The CNN and MLP layers are trained simultaneously to yield projections that are similar for augmented versions of the same image, while being dissimilar for different images, even if those images are of the same class of object. The trained model not only does well at identifying different transformations of the same image, but also learns representations of similar concepts (e.g., chairs vs. dogs), which later can be associated with labels through fine-tuning.
#ML #DL #CNN #pytorch #framework

#nlp
https://ruder.io/4-biggest-open-problems-in-nlp/

#ray_project #deep_rl
https://blog.dominodatalab.com/evaluating-ray-distributed-python-for-massive-scalability/

#kubernetes #k8s #cockroachdb #cockroachdb #team #dash #framework
https://www.cockroachlabs.com/blog/dash-kubernetes-native-database/