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A simple option critic framework using Q-Learning
📐 Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Turn PDFs and EPUBs into audiobooks, subtitles or videos into dubbed videos (including translation), and more. For free. Pandrator uses local models, notably XTTS, including voice-cloning (instant,…
AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
Code for the manim-generated scenes used in 3blue1brown videos
PyTorch implementation of 'B-spline Parameterized Joint Optimization of Reconstruction and K-space Trajectories (BJORK) for Accelerated 2D MRI''
VirtMRI: Generate images for different MRI Sequences in your Browser. Written in JavaScript and C compiled to WebASM
Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
YaRN: Efficient Context Window Extension of Large Language Models
This repository contians a curated list of papers related to Animal pose esitmation and Computational NeuroEthology. New papers are added regularly
Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Code for DSFNet: Dual Space Fusion Network for Occlusion-Robust Dense 3D Face Alignment
Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in puls…
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Learning in infinite dimension with neural operators.