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ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Geometric Computer Vision Library for Spatial AI
An implementation of the diffusers api in Rust
Multi-dimensional arrays (tensors) and numerical definitions for Elixir
DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support
The official Allegro 5 git repository. Pull requests welcome!
A launch point for your personal nvim configuration
Use Neovim as a language server to inject LSP diagnostics, code actions, and more via Lua.
Extension to mason.nvim that makes it easier to use lspconfig with mason.nvim.
A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".
Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"
Unoffical implement for [StyleDrop](https://arxiv.org/abs/2306.00983)
An in-context conditioning version of MUSE with pre-trained checkpoints.
PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.
Turn SymPy expressions into trainable JAX expressions.
jrk / etechou
Forked from noinil/etechouPDF planner with clickable date links created with LaTeX.
Digital planner for Supernote and ReMarkable // Support Ukraine 🇺🇦 https://savelife.in.ua/en
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
This is the repository for MRF related projects of the Setsompop Lab at Stanford University. The code here is used to read and reconstruct MRF data and accompanying calibration scans.
This repository contains the code needed to reproduce and explore the results presented in "Deep Learning Initialized Compressed Sensing (Deli-CS) in Volumetric Spatio-Temporal Subspace Reconstruct…
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A new markup-based typesetting system that is powerful and easy to learn.
nanobind: tiny and efficient C++/Python bindings