#pytorch #onnx #tensorRT #inference #ml_engineering #ml #dl
https://www.learnopencv.com/how-to-run-inference-using-tensorrt-c-api/
https://www.learnopencv.com/how-to-run-inference-using-tensorrt-c-api/
LearnOpenCV – Learn OpenCV, PyTorch, Keras, Tensorflow with code, & tutorials
How To Run Inference Using TensorRT C++ API
In this post, we continue to consider how to speed up inference quickly and painlessly if we already have a trained model in PyTorch. In the previous post We discussed what ONNX and TensorRT are and why they are needed Сonfigured the environment for PyTorch…
#jpeg #vs #png #vs #gif #dl #training #performance #cnn
https://stats.stackexchange.com/questions/285931/does-the-image-format-png-jpg-gif-affect-how-an-image-recognition-neural-net
https://stats.stackexchange.com/questions/285931/does-the-image-format-png-jpg-gif-affect-how-an-image-recognition-neural-net
Cross Validated
Does the image format (png, jpg, gif) affect how an image recognition neural net is trained?
I'm aware that there's been lots of advances with regards to image recognition, image classification, etc with deep, convolutional neural nets.
But if I train a net on, say, PNG images, will it only
But if I train a net on, say, PNG images, will it only
#rl #dl #Quantitative_finance #finance #trading #quant #Ai_Capital_Management #team #deep_rl
https://towardsdatascience.com/applied-deep-reinforcement-learning-in-quantitative-trading-both-momentum-and-market-neutral-c0eef522ea11
https://towardsdatascience.com/applied-deep-reinforcement-learning-in-quantitative-trading-both-momentum-and-market-neutral-c0eef522ea11
Medium
Applied Deep Reinforcement Learning in Quantitative Trading (Both Momentum and Market Neutral)
An A.I. Capital Management Research Article Series
#onnx #onnx_runtime #inference #tensorRT #deployment #pytorch #tensorflow #ml #dl #demo #asic #fpga #gpu
https://www.youtube.com/watch?v=cK5AyawZSUI&ab_channel=JanakiramMSV
https://www.youtube.com/watch?v=cK5AyawZSUI&ab_channel=JanakiramMSV
YouTube
Everything You Want to Know About ONNX
Open Neural Network Exchange (ONNX) is an open format built to represent machine learning models. It defines the building blocks of machine learning and deep learning models along with a common file format to enable AI developers to use models with a variety…
#pytorch #openAi #team #business #ml #dl
https://venturebeat.com/2020/01/30/openai-facebook-pytorch-google-tensorflow/
https://venturebeat.com/2020/01/30/openai-facebook-pytorch-google-tensorflow/
VentureBeat
OpenAI goes all-in on Facebook’s Pytorch machine learning framework
OpenAI announced that it will adopt Facebook's PyTorch machine learning development framework in the near future, eschewing Google's TensorFlow.
#alphafold #deepmind #team #biotech #deep_rl #rl #dl #ml
#harvard
https://deepmind.com/blog/article/AlphaFold-Using-AI-for-scientific-discovery
https://ccsp.hms.harvard.edu/wp-content/uploads/2020/11/AlphaFold-at-CASP13-AlQuraishi.pdf
https://www.youtube.com/watch?v=B9PL__gVxLI&ab_channel=YannicKilcher
#harvard
https://deepmind.com/blog/article/AlphaFold-Using-AI-for-scientific-discovery
https://ccsp.hms.harvard.edu/wp-content/uploads/2020/11/AlphaFold-at-CASP13-AlQuraishi.pdf
https://www.youtube.com/watch?v=B9PL__gVxLI&ab_channel=YannicKilcher
Google DeepMind
AlphaFold: Using AI for scientific discovery
In our study published in Nature, we demonstrate how artificial intelligence research can drive and accelerate new scientific discoveries. We’ve built a dedicated, interdisciplinary team in hopes...
#influencers #ml #dl #cv #self_driving_cars #Autonomous_Vehicles #lyft #uber #google #tesla
https://www.aitimejournal.com/@a.m.aditya/25-autonomous-vehicles-influencers-to-follow-by-2020
https://www.aitimejournal.com/@a.m.aditya/25-autonomous-vehicles-influencers-to-follow-by-2020
AI, ML, Data Science Articles | Interviews | Insights | AI TIME JOURNAL
25 Autonomous Vehicles Influencers to Follow by 2020
The ultimate aim of Artificial Intelligence is to provide machines the ability to operate autonomously. One such area which is projected to grow exponentially over the next decade is Autonomous Vehicles. With Artificial Intelligence coupled with the rapid…
#ab_testing #ml #dl
https://towardsdatascience.com/how-we-dumped-a-b-testing-for-machine-learning-2b44632ba9df
https://towardsdatascience.com/how-we-dumped-a-b-testing-for-machine-learning-2b44632ba9df
Medium
How We Dumped A/B Testing For Machine Learning
I was the A/B Testing guy in my previous role. We were driving thousands of visitors from paid channels to our website, so naturally, we…
#kubeflow #vs #sagemaker #ml #dl
https://www.youtube.com/watch?v=lugapU4nOww&ab_channel=MLOps.community
https://www.youtube.com/watch?v=lugapU4nOww&ab_channel=MLOps.community
YouTube
Kubeflow vs sagemaker in Machine Learning
How do Kubeflow and SageMaker go up against each other what are the benefits of using one or the other? How does versioning your Machine Learning steps work with Kubeflow and Arrikto? For our 8th MLOps community meetup Josh Bottum VP of Arrikto and Kubeflow…
#TaBERT #bert #facebook #team #ml #dl #tabular #data #nlp #cmu #team
https://ai.facebook.com/blog/tabert-a-new-model-for-understanding-queries-over-tabular-data/
https://ai.facebook.com/blog/tabert-a-new-model-for-understanding-queries-over-tabular-data/
Facebook
TaBERT: A new model for understanding queries over tabular data
TaBERT is the first model that has been pretrained to learn representations for both natural language sentences and tabular data.
#monitoring #ml #dl #promQL #kolmogorov_smirnov_test #prometheus #performance #benchmarks #drift_detection #invalid_valies
https://www.youtube.com/watch?v=07WQL8SJQwg&t=930s&ab_channel=BasisAI
https://www.youtube.com/watch?v=07WQL8SJQwg&t=930s&ab_channel=BasisAI
YouTube
Monitoring machine learning model performance in production systems
BasisAI's Senior Software Engineer, Qiao Han, looks at some of the technical challenges in productionising machine learning, specifically looking at how model performance can be monitored continuously after deployment.
Learn practical techniques in detecting…
Learn practical techniques in detecting…
#rl #dl #paper
Communication in Multi-Agent Reinforcement Learning: Intention Sharing by kim et al
TL;DR: In this paper, we propose a new communication scheme named Intention Sharing (IS) for multi-agent reinforcement learning in order to enhance the coordination among agents. In the proposed IS scheme, each agent generates an imagined trajectory by modeling the environment dynamics and other agents' actions. The imagined trajectory is the simulated future trajectory of each agent based on the learned model of the environment dynamics and other agents and represents each agent's future action plan. Each agent compresses this imagined trajectory capturing its future action plan to generate its intention message for communication by applying an attention mechanism to learn the relative importance of the components in the imagined trajectory based on the received message from other agents. Numeral results show that the proposed IS scheme outperforms other communication schemes in multi-agent reinforcement learning.
Paper: https://openreview.net/pdf?id=qpsl2dR9twy
Communication in Multi-Agent Reinforcement Learning: Intention Sharing by kim et al
TL;DR: In this paper, we propose a new communication scheme named Intention Sharing (IS) for multi-agent reinforcement learning in order to enhance the coordination among agents. In the proposed IS scheme, each agent generates an imagined trajectory by modeling the environment dynamics and other agents' actions. The imagined trajectory is the simulated future trajectory of each agent based on the learned model of the environment dynamics and other agents and represents each agent's future action plan. Each agent compresses this imagined trajectory capturing its future action plan to generate its intention message for communication by applying an attention mechanism to learn the relative importance of the components in the imagined trajectory based on the received message from other agents. Numeral results show that the proposed IS scheme outperforms other communication schemes in multi-agent reinforcement learning.
Paper: https://openreview.net/pdf?id=qpsl2dR9twy
#TaBERT #bert #facebook #team #ml #dl #tabular #data #nlp #cmu #team
https://syncedreview.com/2020/07/14/facebook-cmu-introduce-tabert-for-understanding-tabular-data-queries/
https://syncedreview.com/2020/07/14/facebook-cmu-introduce-tabert-for-understanding-tabular-data-queries/
Synced | AI Technology & Industry Review
Facebook & CMU Introduce TaBERT for Understanding Tabular Data Queries | Synced
TaBERT-powered neural semantic parsers showed performance improvements on the challenging benchmark WikiTableQuestions.