Popular GitHub Repositories for Ice Plot

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

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

: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.

[EACL 2024] ICE-Score: Instructing Large Language Models to Evaluate Code

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

一行代码搞定 Python 图表中文展示

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

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

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.

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.

Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning, with ICESat-2!

Multimodal Access and Interactive Data Representation

[DEPRECATED prototype] Multimodal Access and Interactive Data Representation

Machine Learning Tool Box

A general PINN framework for solving ice sheet modeling