niharricky27
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Streamlit Component for rendering Folium maps
Code I use to automatically update my videos' metadata on YouTube
Code from the mCoding sample videos
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
Snips Python library to extract meaning from text
500 AI Machine learning Deep learning Computer vision NLP Projects with code
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
💬 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
💫 Industrial-strength Natural Language Processing (NLP) in Python
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
The OpenRefine Python Client Library provides an interface to communicating with an OpenRefine server.
Autocomplete - light-weight, next-word prediction Python utility
todschmidt / home-assistant
Forked from home-assistant/core🏡 Open-source home automation platform running on Python 3
Python bindings for Musicbrainz' NGS webservice
Instructional notebooks on music information retrieval.
Realtime human head pose estimation with ONNXRuntime and OpenCV.
A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.
This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so …
The world's simplest facial recognition api for Python and the command line
A python library and collection of notebooks for making art with machine learning.
An example of doing MovieLens recommendations using triplet loss in Keras
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.