🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

A Gradio web UI for Large Language Models.

Making large AI models cheaper, faster and more accessible

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

The official Python library for the OpenAI API

Deep universal probabilistic programming with Python and PyTorch

The official PyTorch implementation of Google's Gemma models

Code examples and resources for DBRX, a large language model developed by Databricks

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

PyTorch implementation of adversarial attacks [torchattacks]

Toolbox of models, callbacks, and datasets for AI/ML researchers.

Machine Learning algorithm implementations from scratch.

Geometric loss functions between point clouds, images and volumes

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Deep neural network kernel for Gaussian process

Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

A Python package for building Bayesian models with TensorFlow or PyTorch

A framework for composing Neural Processes in Python

VAEs and nonlinear ICA: a unifying framework

LFP feature extraction and prediction pipeline