ducminhkhoi / autograd_pytorchLinks
Building your own autograd mechanism based on PyTorch tensor only (not Variable, can be seen as numpy array)
☆24Updated 2 years ago
Alternatives and similar repositories for autograd_pytorch
Users that are interested in autograd_pytorch are comparing it to the libraries listed below
Sorting:
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆51Updated 6 months ago
- AAAI 2022 Paper: Bet even Beth Harmon couldn't learn chess like that :)☆38Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION☆16Updated 7 years ago
- Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"☆15Updated 6 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 3 years ago
- Code for "The Expressive Power of Low-Rank Adaptation".☆20Updated last year
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 6 years ago
- Neuronal Circuit Policies☆40Updated 3 years ago
- An adaptive training algorithm for residual network☆17Updated 5 years ago
- Generalised UDRL☆37Updated 3 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆20Updated last year
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆16Updated 4 years ago
- Blog post☆17Updated last year
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Nonparametric Score Estimators, ICML 2020☆36Updated 4 years ago
- PyTorch implementation for the Neural Logic Machines (NLM).☆11Updated 6 years ago
- 🤖 Reinforcement Learning paper summaries, notebooks, and articles.☆26Updated 5 years ago
- ☆40Updated 4 years ago
- Understanding RL vision Distill article☆25Updated 2 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated 2 years ago
- ☆50Updated 5 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago
- Official code for the paper "Context-Aware Language Modeling for Goal-Oriented Dialogue Systems"☆34Updated 3 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Updated 3 years ago
- ☆32Updated last year
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago