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A natural language interface for computers
All Algorithms implemented in Python
Official TensorFlow implementation of GAN-based priors for quantifying uncertainty.
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
A collection of Black Box Variational Inference algorithms implemented in an object-oriented Python framework using Autograd.
This repo is unofficial ChatGPT api. It is based on Daniel Gross's WhatsApp GPT
This repo includes ChatGPT prompt curation to use ChatGPT better.
Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Experiments in creating a PySR web app
🦜🔗 Build context-aware reasoning applications
A playbook for systematically maximizing the performance of deep learning models.
LlamaIndex is a data framework for your LLM applications
A collaboration friendly studio for NeRFs
an Open Collaborative project to explore the implications — theoretical or practical — of the PDE perspective of ConvNets
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
A library for scientific machine learning and physics-informed learning
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
Official implementation of Machine Learning Based Predictors for COVID-19 Disease Severity
Design your own matplotlib stylefile interactively
Distributed High-Performance Symbolic Regression in Julia
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Paper list for equivariant neural network