Demo: Slightly More Bio-Plausible Backprop
☆21Mar 9, 2017Updated 9 years ago
Alternatives and similar repositories for randombp
Users that are interested in randombp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tensorflow implementation of Direct and Random feedback Alignment☆25Nov 14, 2016Updated 9 years ago
- Code for our paper on best practices to train neural networks with direct feedback alignment (DFA).☆23Jun 12, 2019Updated 7 years ago
- Experiments with Direct Feedback Alignment training scheme for DNNs☆33Feb 23, 2017Updated 9 years ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆68Feb 11, 2021Updated 5 years ago
- The official, proof-of-concept C++ implementation of PocketNN.☆38Sep 26, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- a spiking neural network module, tempotron for classification☆17Jan 13, 2021Updated 5 years ago
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆91Jul 26, 2022Updated 4 years ago
- ☆12Mar 1, 2024Updated 2 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆13Nov 20, 2020Updated 5 years ago
- Large-batch Training, Neural Network Optimization☆11Nov 8, 2019Updated 6 years ago
- The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predict…☆10Nov 24, 2019Updated 6 years ago
- Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters☆13Aug 15, 2022Updated 4 years ago
- ☆12Jan 14, 2025Updated last year
- Implementation of DeepMind's "Sobolev Training for Neural Networks"☆11Apr 2, 2018Updated 8 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiaha…☆14Sep 22, 2024Updated 2 years ago
- Code for the NeurIPS 2020 paper Efficient Exact Verification of Binarized Neural Networks☆14Jun 30, 2022Updated 4 years ago
- Codes for Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning☆11May 5, 2022Updated 4 years ago
- ☆10Jan 31, 2022Updated 4 years ago
- ☆18Oct 15, 2021Updated 5 years ago
- Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”☆15Jun 19, 2023Updated 3 years ago
- ☆118Feb 27, 2024Updated 2 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆13Aug 27, 2021Updated 5 years ago
- ☆12Dec 26, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆48Updated this week
- Huffman encoder☆10Sep 8, 2013Updated 13 years ago
- ☆18May 1, 2024Updated 2 years ago
- ☆10Jan 18, 2021Updated 5 years ago
- An event based dataset loader under one common python API.☆10Mar 22, 2022Updated 4 years ago
- drafts of LSRs I intend to file, am filing, or have filed as a legislator☆11May 30, 2026Updated 4 months ago
- PyTorch utilities for ML, specifically speech☆13Jan 30, 2024Updated 2 years ago
- Code needed to reproduce results from my ICLR 2019 paper on fixed-point quantization of the backprop algorithm.☆10Jan 24, 2019Updated 7 years ago
- Docker image with Intel Parallel Studio XE Composer Edition for C++☆16Aug 18, 2018Updated 8 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19May 9, 2019Updated 7 years ago
- An FPGA-based neuromorphic processor designed and implemented using VHDL☆22Apr 30, 2026Updated 5 months ago
- ☆10Jun 28, 2019Updated 7 years ago
- The code for the Network Binarization via Contrastive Learning, which has been accepted to ECCV 2022.☆14Jul 13, 2022Updated 4 years ago
- 中文版 Parallel Programming for FPGAs☆15Nov 20, 2019Updated 6 years ago
- Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"☆12Feb 15, 2023Updated 3 years ago
- Training neural networks with target propagation☆13May 19, 2017Updated 9 years ago