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Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
(Supports DeepSeek R1) An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Open Source search based on OpenStreetMap data
[2023]Run GraphCast in one click. The code will automatically install and run the model environment, automatically inferencing and demonstrating how to train the model.(DOI: 10.1126/science.adi2336…
A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning
New repo collection for NVIDIA Cosmos: https://github.com/nvidia-cosmos
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
No fortress, purely open ground. OpenManus is Coming.
This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov
Toolkit for linearizing PDFs for LLM datasets/training
A Comprehensive Toolkit for High-Quality PDF Content Extraction
Featuring powerful AI capabilities and supporting various e-book formats, it makes reading smarter and more focused. 集成多种 AI 能力，支持丰富的电子书格式，让阅读更智能、更专注。
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
PyTorch Implementation of Physics-informed Neural Networks
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
Experimenting with generating synthetic data using ydata-synthetic
[NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns". This work is developed by the Lab of Professor …
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427