How to Make an Awesome Python Package in 2021 https://t.co/v57Rsievx8
— PyCoder’s Weekly (@pycoders) April 17, 2021
How to Make an Awesome Python Package in 2021 https://t.co/v57Rsievx8
— PyCoder’s Weekly (@pycoders) April 17, 2021
The @scikit_learn team at @sklearn_inria has created a MOOC for getting started with scikit-learn! Go check it out! https://t.co/BUbDArJJDU
— Andreas Mueller (@amuellerml) April 14, 2021
You can leave feedback and suggestions (or make PRs) on the repo here: https://t.co/RCMWxqGWb2
Use @PrometheusIO and @Grafana to instrument your @rapidsai @dask_dev deployments and monitor how your workflows are performing on your systems. https://t.co/uCLRqyi2WJ
— RAPIDS AI (@RAPIDSai) April 9, 2021
New code walkthrough on https://t.co/m6mT8SrKDD: using a siamese network to learn to estimate how similar two images look like -- trained on the "Totally Look Like" dataset. Super readable and nicely explained. Created by @hazemessamm & @svpino
— François Chollet (@fchollet) March 26, 2021
Check it: https://t.co/9wruW7oyDL pic.twitter.com/X7RLmsxiEC
Happy to share our tutorial's video on "Causal Fairness Analysis" in the @FAccTConference this year (joint work w/ Drago Plecko & @junzhez): https://t.co/Nn67gjczLw, and the slides: https://t.co/nyd0bmNJse. Special thanks to the organizers, @tiberiocaetano & @zacharylipton .)
— Elias Bareinboim (@eliasbareinboim) March 17, 2021
🔥Fine-Tuning @facebookai's Wav2Vec2 for Speech Recognition is now possible in Transformers🔥
— Hugging Face (@huggingface) March 12, 2021
Not only for English but for 53 Languages🤯
Check out the tutorials:
👉 Train Wav2Vec2 on TIMIT https://t.co/33Bx8Nj4mN
👉 Train XLSR-Wav2Vec2 on Common Voicehttps://t.co/xOoEQV3Krn pic.twitter.com/rxp2hAbaLS
Here's the blog post about:
— Sebastián Ramírez (@tiangolo) March 6, 2021
✨ Deploying FastAPI (and other) apps with HTTPS powered by @traefik ✨
It has all the additional explanations, config files, and source code. 🎉
And there's a link to the recorded video event too. 📺https://t.co/BBIaHh9gll
New code walkthrough on https://t.co/m6mT8SrKDD: speech recognition with Transformer. Very readable and concise demonstration of how to build and train a speech recognition model on the LJSpeech dataset.https://t.co/LDKhOnIBLG
— François Chollet (@fchollet) March 3, 2021
Added a tutorial on how to create your own custom filters with ggfx https://t.co/fDhnwCGhYB
— Thomas Lin Pedersen (@thomasp85) March 2, 2021
New tutorial!🚀
— Adrian Rosebrock (@PyImageSearch) March 1, 2021
Adversarial attacks with FGSM (Fast Gradient Sign Method)
- Implement FGSM with #Keras and #TensorFlow
- Fool CNNs
- Full tutorial w/ #Python codehttps://t.co/yAHUG9GBFf 👍#DeepLearning #MachineLearning #ArtificialIngelligence #AI #DataScience #OpenCV pic.twitter.com/Xb5O8ccbv8
Nice video by Abhishek about his AutoNLP project! Check it out https://t.co/dzavvR74vl
— Thomas Wolf (@Thom_Wolf) February 28, 2021
Thanks again @PyDataMTL for inviting me to speak tonight. Here are my slides from the talk on how to finetune (large) Transformers models.https://t.co/H2P2PvlfS4
— Sylvain Gugger (@GuggerSylvain) February 26, 2021