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Python library for the Amadeus Self-Service travel APIs
Codes and datasets for the paper Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
Reproduction of "Escaping saddles using Stochastic Gradient Descent" by Hadi Daneshmand, Jonas Kohler, Aurelien Lucchi, Thomas Hofmann
Contains the code for the paper "Parameter-Agnostic Optimization under Relaxed Smoothness"
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
"Layer-wise Adaptive Rate Scaling" in PyTorch
Efficient PyTorch Hessian eigendecomposition tools!
Stochastic Gradient Langevin Dynamics for Bayesian learning
Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
All Algorithms implemented in Python
A Python library for reading and writing PDF, powered by QPDF
o1-engineer is a command-line tool designed to assist developers in managing and interacting with their projects efficiently. Leveraging the power of OpenAI's API, this tool provides functionalitie…
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
Understanding Deep Learning - Simon J.D. Prince
ML.NET is an open source and cross-platform machine learning framework for .NET.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A playbook for systematically maximizing the performance of deep learning models.
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Wo…
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)
Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.