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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
A course on aligning smol models.
Unified Training of Universal Time Series Forecasting Transformers
A 15TB Collection of Physics Simulation Datasets
A 4-hour coding workshop to understand how LLMs are implemented and used
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory …
Efficient Deep Learning Systems course materials (HSE, YSDA)
Official repo for PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations, ECCV 2024
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
Your Personal Assistant in Computational Bioimaging.
Modeling the S&P500 index as a hidden markov model for regime identification and creating a trading algorithm to capitalize on hidden state patterns.
[ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen in training for physical simulation
FINER: Flexible spectral-bias tuning in Implicit NEural Representation by Variable-periodic Activation Functions
Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region
A collection of Matplotlib plot templates.
[ICLR2022] CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture
[NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"
Code accompanying manuscript "Functional Tensor Decompositions for Physics-Informed Neural Networks"
Pytorch Implmentation of Diffusion Bridges in Function Spaces (DBFS), NeurIPS 2024