RasaHQ / rasa
đź’¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
https://github.com/RasaHQ/rasa
đź’¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
https://github.com/RasaHQ/rasa
GitHub
GitHub - RasaHQ/rasa: 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue…
đź’¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants - R...
I Wrote a Script to WhatsApp My Parents Every Morning in Just 20 Lines of Python Code
https://medium.com/better-programming/i-wrote-a-script-to-whatsapp-my-parents-every-morning-in-just-20-lines-of-python-code-5d203c3b36c1
https://medium.com/better-programming/i-wrote-a-script-to-whatsapp-my-parents-every-morning-in-just-20-lines-of-python-code-5d203c3b36c1
Bayesian Modeling Airlines Customer Service Twitter Response Time
Student’s t-distribution, Poisson…
https://medium.com/@actsusanli/bayesian-modeling-airlines-customer-service-twitter-response-time-74af893f02c0
Student’s t-distribution, Poisson…
https://medium.com/@actsusanli/bayesian-modeling-airlines-customer-service-twitter-response-time-74af893f02c0
Road to become a Python Ninja — Handling Exceptions
Bullet-proofing your Python code
https://blog.usejournal.com/road-to-become-a-python-ninja-handling-exceptions-afd600a762ec
Bullet-proofing your Python code
https://blog.usejournal.com/road-to-become-a-python-ninja-handling-exceptions-afd600a762ec
Algorithmic Game Theory with Nashpy
https://towardsdatascience.com/algorithmic-game-theory-with-nashpy-a73caf14296b
https://towardsdatascience.com/algorithmic-game-theory-with-nashpy-a73caf14296b
openai / gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
https://github.com/openai/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
https://github.com/openai/gpt-2
GitHub
GitHub - openai/gpt-2: Code for the paper "Language Models are Unsupervised Multitask Learners"
Code for the paper "Language Models are Unsupervised Multitask Learners" - openai/gpt-2
A Python prompt into a running process: debugging with Manhole
Sometimes your Python process will behave strangely, run slowly, or give you the wrong answers.
And ...
https://pythonspeed.com/articles/live-debugging-python/
Sometimes your Python process will behave strangely, run slowly, or give you the wrong answers.
And ...
https://pythonspeed.com/articles/live-debugging-python/
Python⇒Speed
A Python prompt into a running process: debugging with Manhole
Your Python process is acting strange—learn how to get a live Python interpreter prompt inside your running process for debugging.
facebookresearch / Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
https://github.com/facebookresearch/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
https://github.com/facebookresearch/Detectron
GitHub
GitHub - facebookresearch/Detectron: FAIR's research platform for object detection research, implementing popular algorithms like…
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. - facebookresearch/Detectron
Rocket (Data) Science
Looking at rocket launches towards Israel at an analytical perspective
https://towardsdatascience.com/rocket-data-science-d81a4375d5aa
Looking at rocket launches towards Israel at an analytical perspective
https://towardsdatascience.com/rocket-data-science-d81a4375d5aa
Learn Blockchains by Building One
The fastest way to learn how Blockchains work is to build one
https://medium.com/hackernoon/learn-blockchains-by-building-one-117428612f46
The fastest way to learn how Blockchains work is to build one
https://medium.com/hackernoon/learn-blockchains-by-building-one-117428612f46
Writing tests for the Albumentations library with pytest
https://towardsdatascience.com/writing-test-for-the-image-augmentation-albumentation-library-a73d7bc1caa7
https://towardsdatascience.com/writing-test-for-the-image-augmentation-albumentation-library-a73d7bc1caa7
eriklindernoren / PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
https://github.com/eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
https://github.com/eriklindernoren/PyTorch-GAN
GitHub
GitHub - eriklindernoren/PyTorch-GAN: PyTorch implementations of Generative Adversarial Networks.
PyTorch implementations of Generative Adversarial Networks. - eriklindernoren/PyTorch-GAN
pytorch / fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
https://github.com/pytorch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
https://github.com/pytorch/fairseq
GitHub
GitHub - facebookresearch/fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - facebookresearch/fairseq
explosion / spaCy
đź’« Industrial-strength Natural Language Processing (NLP) with Python and Cython
https://github.com/explosion/spaCy
đź’« Industrial-strength Natural Language Processing (NLP) with Python and Cython
https://github.com/explosion/spaCy
GitHub
GitHub - explosion/spaCy: đź’« Industrial-strength Natural Language Processing (NLP) in Python
đź’« Industrial-strength Natural Language Processing (NLP) in Python - explosion/spaCy
Everything you need to know about TensorFlow 2.0
Keras-APIs, SavedModels, TensorBoard, Keras-Tuner and…
https://towardsdatascience.com/everything-you-need-to-know-about-tensorflow-2-0-b0856960c074
Keras-APIs, SavedModels, TensorBoard, Keras-Tuner and…
https://towardsdatascience.com/everything-you-need-to-know-about-tensorflow-2-0-b0856960c074
rwightman / pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
https://github.com/rwightman/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
https://github.com/rwightman/pytorch-image-models
GitHub
GitHub - huggingface/pytorch-image-models: The largest collection of PyTorch image encoders / backbones. Including train, eval…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V...
eriklindernoren / PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
https://github.com/eriklindernoren/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
https://github.com/eriklindernoren/PyTorch-YOLOv3
GitHub
GitHub - eriklindernoren/PyTorch-YOLOv3: Minimal PyTorch implementation of YOLOv3
Minimal PyTorch implementation of YOLOv3. Contribute to eriklindernoren/PyTorch-YOLOv3 development by creating an account on GitHub.
The Hitchhiker’s Guide to Regular Expressions and Python’s re Library
DON’T PANIC
https://medium.com/@hparker5/the-hitchhikers-guide-to-regular-expressions-and-python-s-re-library-1342444900d2
DON’T PANIC
https://medium.com/@hparker5/the-hitchhikers-guide-to-regular-expressions-and-python-s-re-library-1342444900d2
Medium
The Hitchhiker’s Guide to Regular Expressions and Python’s re Library
DON’T PANIC
How virtual environment libraries work in Python
Have you ever wondered what happens when you activate a virtual environment and how it works ...
http://rushter.com/blog/python-virtualenv/
Have you ever wondered what happens when you activate a virtual environment and how it works ...
http://rushter.com/blog/python-virtualenv/
Artem Golubin
How virtual environment libraries work in Python | Artem Golubin
An introduction to virtual environment internals