#PyTorch

One revolution in the fight against #COVID19 has been the use of robotics. Some cool pictures here: https://www.businessinsider.com/robots-fighting-coronavirus-in-china-us-and-europe-2020-3 and technical details here: https://www.wired.com/story/covi

Farshid Sepehrband

1/10 I am happy to present the first release of #NiftyTorch, a Python API for deploying #DeepLearning for #neuroimaging research. We tried to make it an easy-to-use library for the

Top 11 Books on Cyber Security. #BigData #Analytics #DataScience #CyberSecurity #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode h

𝘐 𝘴𝘵𝘢𝘳𝘵𝘦𝘥 𝘮𝘢𝘤𝘩𝘪𝘯𝘦 𝘭𝘦𝘢𝘳𝘯𝘪𝘯𝘨 𝘣𝘺 𝘮𝘺𝘴𝘦𝘭𝘧 𝘢𝘯𝘥 𝘪𝘵 𝘸𝘢𝘴 𝘵𝘰𝘶𝘨𝘩.What held me back ,was the dilemma of which python lib

Free machine learning education. Many top universities are making their Machine Learning and Deep Learning programs publicly available. All of this information is now online and free for everyone!Here are

Vladimir Haltakov

It's finally time for some paper review! I promised the other day to start posting threads with summaries of papers that had a big impact on the field of ML

How can you successfully train transformers on small datasets like PTB and WikiText-2? Are LSTMs better on small datasets? I ran 339 experiments worth 568 GPU hours and came up

Excited to share our work on Longformer, a scalable transformer model for long-document NLP tasks without chunking/truncation to fit the 512 limit.Work with @mattthemathman, @armancohanCode and pretrained model: http://github.com/allenai/longformerPa

12 machine learning YouTube videos.On libraries, algorithms, tools, and theory.↓ 1. Jupyter Notebooks: https://youtube.com/watch?v=HW29067qVWk2. Pandas: https://youtube.com/watch?v=e60ItwlZTKM3. Matplotlib: https://youtube.com/watch?v=nzK

We recently got some insight into how Tesla is going to replace radar in the recent firmware updates + some nifty ML model techniques Thread From the binaries we can

The NumPy paper is out!https://www.nature.com/articles/s41586-020-2649-2 NumPy provides an easily readable, expressive, high-level API for array programming. It takes care of the underlying mechanics that make operations fast. The array pro

For the last couple of months, I have been doing some research on ML in production. I have shared a few resources here, from repositories to blogs.However, I have found

fasterthanlime 🌌

Looking forward to reading about the Twitter vulnerability that led up to this.First Musk, now Bezos: That sounds believable, what's puzzling is what is the incident response team doing? It's

I am going to rehash something I discovered.AI/ML are the buzz words of tech today. The hype is everywhere. One can find everything from bleeding-edge-tech-of-tomorrow to get-rich-next-year kind of posts

Got asked a ton of questions about Machine Learning!I decided to build a short FAQ to help you move forward.Here are my answers to the 10 most frequently asked questions

Vladimir Haltakov

ML paper review time - DenseNet! This paper won the Best Paper Award at the 2017 Conference on Computer Vision and Pattern Recognition (CVPR) - the best conference for computer