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Tsinghua University
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🦜🔗 Build context-aware reasoning applications
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Python Data Science Handbook: full text in Jupyter Notebooks
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
💿 Free software that works great, and also happens to be open-source Python.
Public facing notes page
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
Data Science Using Python
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Python library for interactive topic model visualization. Port of the R LDAvis package.
This repository holds all the code for the site http:https://www.adventuresinmachinelearning.com
Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.
Food Classification with Deep Learning in Keras / Tensorflow
SpaCy 中文模型 | Models for SpaCy that support Chinese
karolmajek / Mask_RCNN
Forked from matterport/Mask_RCNNMask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Numba tutorial for GTC 2017 conference
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
If you want to use Python for text analysis, this course is for you!
Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
Example Numba implementations of functions
Differentiable Social Force simulation with universal interaction potentials.
An OpenModelica Jupyter kernel
The universal visitation law of human mobility (Nature)
Python text processing, pattern matching, and NLP framework