Popular GitHub Repositories for Bokeh Plot

Computer vision assisted tool to extract numerical data from plot images.

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!

:sparkles: A plotter for reinforcement learning (RL)

[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

A crossplatform GUI to plot tabulated data from files (e.g. CSV, Excel, OpenFAST, HAWC2, Flex...), or python pandas dataframes

Computer Algebra System (CAS) for Obsidian.md

Quran GPT is a project that leverages the power of the GPT-4 language model to generate meaningful embeddings for Quran verses. This project not only generates embeddings for the verses but also visualizes the distribution of these embeddings using t-SNE in a 3D scatter plot.

This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).

《Bokeh Diffusion：文本到图像扩散模型中的散焦模糊控制》的官方实现

一行代码搞定 Python 图表中文展示

Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]

Curated Python Notebooks for Amazing Data Visualization

High-performance data visualization library for Flutter with native rendering and cross-platform support

Official Pytorch implementation of ICCV 2021 2020 paper "Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision"

A Python library for sentiment analysis of various tickers from the latest news by trusted sources, and tools to plot results. ???

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

Mode collapse example of GANs in 2D (PyTorch).

Text Analysis with OpenAI GPT-3.5 is a Python script that uses the power of the OpenAI GPT-3.5 language model to analyze text and answer questions about its content. The script takes a text or PDF file as input and allows users to ask questions about the text's plot, characters, themes, and more.

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses.