minhtannguyen / MomentumRNN
Code base for MomentumRNN.
☆18Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for MomentumRNN
- ☆29Updated 3 years ago
- Layerwise Batch Entropy Regularization☆22Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 2 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 3 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Updated 3 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆12Updated 8 months ago
- Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"☆14Updated 5 years ago
- General Invertible Transformations for Flow-based Generative Models☆17Updated 3 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆24Updated last year
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆43Updated 3 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆13Updated 5 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆26Updated 3 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- ☆19Updated 4 years ago
- ☆22Updated 5 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆23Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆18Updated 3 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 5 years ago
- Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"☆22Updated 4 years ago
- Investigate the speed of adaptation of structural causal models☆16Updated 3 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆21Updated 4 years ago
- Random feature latent variable models in Python☆22Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 3 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆15Updated 3 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆15Updated 3 years ago
- ☆24Updated 6 months ago