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An open-source RAG-based tool for chatting with your documents.
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
Weekly update the Computer Science Paper upload to arxiv.
This repository contains demos I made with the Transformers library by HuggingFace.
Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)
Querying local documents, powered by LLM
Connect and chat with your multiple documents (pdf and txt) through GPT 3.5, GPT-4 Turbo, Claude and Local Open-Source LLMs
High accuracy RAG for answering questions from scientific documents with citations
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Pytorch Tutorial given to IFT6135 Representation Learning Class
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!
Stable Diffusion with Core ML on Apple Silicon
⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
An elegant PyTorch deep reinforcement learning library.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Summaries of courses in the AI Master programme at UvA
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Must-read papers on graph neural networks (GNN)
"Probabilistic Machine Learning" - a book series by Kevin Murphy
data⎰describe: Pythonic EDA Accelerator for Data Science