Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
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Train and run a computer vision model with 5-10 lines of code.
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
An open-source visual programming environment for battle-testing prompts to LLMs.
Code for the Kaggle acquire valued shoppers challenge.
A data framework for building LLM applications over external data.
LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
Combine LLMs and code to create simple automations.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.
Source code and experiments results for TGS Salt Identification Challenge.
Source code and experiments results for Airbus Ship Detection Challenge.
Source code for Toxic Comment Classification Challenge.
Source code and experiments results for Santander Value Prediction Challenge.
Gitingest - Turn any Git repository into a simple text digest of its codebase so it can be fed into any LLM.
A neuro-symbolic framework for building applications with LLMs at the core.
Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.
Learn About provides AI-assisted learning, courses, tutorials, or study support.
UFLDL provides AI-assisted learning, courses, tutorials, or study support.
"AI for Good" Campaigns Are the Wrong Approach - IEEE Spectrum provides machine-learning models, research, training resources, or evaluation tools.