The Model Zoo of Knowledge Tracing Models

A Python package on Bayesian network with hidden variables.

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

A python library for decision tree visualization and model interpretation.

Generate Diverse Counterfactual Explanations for any machine learning model.

🤗 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.

VisText is a benchmark dataset for semantically rich chart captioning.

Vega-Lite Chart Dataset and NL Generation Framework using LLMs

A curated list of awesome responsible machine learning resources.

A game theoretic approach to explain the output of any machine learning model.

A library for efficient similarity search and clustering of dense vectors.

This is the code for our KILT leaderboard submissions (KGI + Re2G models).

A Retriever and Generator based Question Answering Model on a custom knowledge base. Classical NLP Algorithms, DL retreival, generation and finetuning using our knowledge base produce best results.

Supercharge Your LLM Application Evaluations 🚀

机器学习算法python实现

Manifold Aligned Neighbor Embedding Paper

Selenium webdriver to automatically perform login and submission action, and observe the suspicious behaviours

Official source code for ESEC/FSE 2023 Paper: DeepDebugger: An Interactive Time-Travelling Debugging Approach for Deep Classifiers

Studying for a tech interview sucks. Here's an open source cheat sheet to help

DeepVisualInsight (DVI) is a time-travelling visualization solution for how the classification boundaries of a learned model is trained in two-dimensional space.

Dynaphish: A complementary module for any reference-based phishing detector with BrandKnowledgeExpansion and WebInteraction

ModelDiff: A Framework for Comparing Learning Algorithms

[ICML 2022] Representation Topology Divergence: A Method for Comparing Neural Network Representations

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

We present an algorithm to dynamically adjust the data assigned for each worker at every epoch during the training in a heterogeneous cluster. We empirically evaluate the performance of the dynamic…

Position prediction of invisible tree using EM algorithm of GMM. We used Python's Matplotlib data visualization and preprocessed to determine the fruit distribution. BIC and AIC indexes were used …

Python package for extracting representations from state-of-the-art computer vision models