MattScicluna / IFT6135_ProgrammingLinks
☆16Updated 3 years ago
Alternatives and similar repositories for IFT6135_Programming
Users that are interested in IFT6135_Programming are comparing it to the libraries listed below
Sorting:
- ☆67Updated 6 years ago
- Place for students to post their personal notes for IFT6135 Course taken by Aaron Courvile☆9Updated 3 years ago
- ☆11Updated 3 years ago
- Library that provides metrics to assess representation quality☆10Updated 4 months ago
- A collection of meta-learning algorithms in Jax☆23Updated 2 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆88Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆101Updated last year
- ☆16Updated 8 months ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Implementation of the "Online learning of long-range dependencies" paper, NeurIPS 2023☆18Updated 7 months ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆65Updated 4 years ago
- Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)☆54Updated 7 months ago
- ☆29Updated 4 years ago
- PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from s…☆32Updated 3 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆39Updated last month
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆49Updated last year
- ☆157Updated 2 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"☆25Updated 5 years ago
- ☆15Updated 4 years ago
- A collection of Survey Papers in Machine Learning☆20Updated 3 years ago
- paper lists and information on mean-field theory of deep learning☆76Updated 6 years ago
- codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"☆49Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- ☆241Updated 2 years ago
- ☆63Updated 3 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- ☆26Updated 2 years ago