torchsde
torchdyn
| torchsde | torchdyn | |
|---|---|---|
| 5 | 1 | |
| 1,473 | 1,277 | |
| 2.0% | 1.8% | |
| 4.8 | 5.2 | |
| 7 months ago | about 1 month ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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torchsde
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Google Research • Differentiable SDE solvers with GPU support and efficient sensitivity analysis in PyTorch. For stochastic differential equations in your deep learning models
Github: https://github.com/google-research/torchsde
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[D] Ideal deep learning library
So not just that paper, but also our follow-up papers on the same topic: Neural SDEs as Infinite-Dimensional GANs Efficient and Accurate Gradients for Neural SDEs are in fact implemented in PyTorch, specifically the torchsde library. (Disclaimer: of which I am a developer.)
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[D] Is there any way for GAN to generate arbitrary length of time series signal?
Code: SDE-GAN example in torchsde.
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[P] Final Year Computer Science Project Suggestions
If you're interested in finance then I'd recommend Neural SDEs: https://arxiv.org/abs/2102.03657 https://arxiv.org/abs/2105.13493 https://github.com/google-research/torchsde/blob/master/examples/sde_gan.py
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Simple & Fast GAN Training [D]
This may or may not fit what you're after.
torchdyn
What are some alternatives?
pysindy - A package for the sparse identification of nonlinear dynamical systems from data
NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
SSD-pytorch - SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
handwritten-multi-digit-number-recognition - Recognize handwritten multi-digit numbers using a CRNN model trained with synthetic data.
deep-learning-v2-pytorch - Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
functorch - functorch is JAX-like composable function transforms for PyTorch.
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
BigDL - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.