senya-ashukha / simple-gradient-boosting
Very simple and short implementation of gradient boosting in 18 lines of code
☆9Updated 4 years ago
Alternatives and similar repositories for simple-gradient-boosting:
Users that are interested in simple-gradient-boosting are comparing it to the libraries listed below
- Deep Generative Models course, 2021☆21Updated 3 years ago
- ☆11Updated 4 years ago
- NLA 2018 Skoltech course☆52Updated 6 years ago
- Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!☆51Updated 5 years ago
- Skoltech 2017 NLA course☆37Updated 6 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆84Updated 3 years ago
- [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds☆13Updated 2 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆37Updated 4 years ago
- Learning to Initialize Neural Networks for Stable and Efficient Training☆138Updated 2 years ago
- ☆28Updated 2 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆24Updated 3 years ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Updated 4 years ago
- Theoretical Deep Learning: generalization ability☆46Updated 5 years ago
- ☆15Updated 2 years ago
- The PyTorch implementation of the GLF☆21Updated 3 years ago
- Generate bird's-eye views of conference proceedings.☆23Updated last month
- Compression schema for gradients of activations in backward pass☆44Updated last year
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆52Updated last year
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 4 years ago
- GAN models implemented with Pytorch Lightning and Hydra configuration☆34Updated 2 years ago
- Take control back!☆18Updated 2 years ago
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆69Updated 2 years ago
- Uncertainty Estimation via Stochastic Batch Normalization☆20Updated 6 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆25Updated last year
- VQVAE | VAE | GumbelVAE | PixelCNN☆20Updated 4 years ago
- ☆26Updated 4 years ago
- Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆17Updated 4 months ago
- ☆47Updated 2 years ago
- Experiment Manager☆22Updated 5 years ago
- Lightweight knowledge distillation pipeline☆28Updated 3 years ago