MashedP / dlip-pytorch-DL-good-practisesLinks
DLiP course companion repository for practical 1
☆13Updated 7 months ago
Alternatives and similar repositories for dlip-pytorch-DL-good-practises
Users that are interested in dlip-pytorch-DL-good-practises are comparing it to the libraries listed below
Sorting:
- ☆58Updated 6 months ago
- MVA Course "Algorithms for speech and language processing", 2024, Clavel, Wisniewski, Sagot, Bawden & Seddah☆14Updated 7 months ago
- Access to free kaggle compute power from your command line☆30Updated last year
- Deep Learning, an Energy Approach☆204Updated 2 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆89Updated 6 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Hundreds of strange attractors☆488Updated last week
- The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…☆748Updated last year
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆163Updated last week
- Repository for CARTE: Context-Aware Representation of Table Entries☆143Updated 3 weeks ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆419Updated this week
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 2 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆632Updated last week
- Our maintained PFN repository. Come here to train SOTA PFNs.☆103Updated last week
- Uncertainty quantification with PyTorch☆372Updated 4 months ago
- Domain adaptation toolbox compatible with scikit-learn and pytorch☆133Updated 3 weeks ago
- Repo centralising material for the ULiege course INFO9023 "Machine Learning Systems Design (MLOps)".☆147Updated last month
- A projection-based framework for gradient-free and parallel learning☆104Updated 2 months ago
- Code repository of the paper "Variational Stochastic Gradient Descent for Deep Neural Networks" published at☆41Updated 3 months ago
- Simple (and cheap!) neural network uncertainty estimation☆69Updated 3 months ago
- Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)☆280Updated last year
- Materials of the Nordic Probabilistic AI School 2024.☆67Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆176Updated last year
- Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples☆194Updated 3 months ago
- CUDA implementation of Tractable Approximate Gaussian Inference☆41Updated this week
- Software design principles for machine learning applications☆369Updated 2 weeks ago
- SETOL: SemiEmpirical Theory of (Deep) Learning☆27Updated last month
- ☆67Updated 2 years ago
- Teaching☆23Updated 2 months ago
- Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow☆203Updated last year