Belkharym / pytorch-fpga
Tensors and Dynamic neural networks in Python with strong GPU acceleration
☆11Updated 5 years ago
Alternatives and similar repositories for pytorch-fpga:
Users that are interested in pytorch-fpga are comparing it to the libraries listed below
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆19Updated 2 years ago
- Alpha Zero equipped with Transformer with various novel techniques for speedup in tree search☆23Updated 6 years ago
- Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent☆14Updated 2 years ago
- Spiking neuron integration for PyTorch☆39Updated 11 months ago
- BiSUNA framework specialized to compile for the Xilinx Alveo U50☆13Updated 4 years ago
- Codes of the paper Deformable Butterfly: A Highly Structured and Sparse Linear Transform.☆12Updated 3 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- GPU implementation of Xnor network on inference level.☆21Updated 4 years ago
- ☆17Updated last month
- Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.☆43Updated 6 months ago
- Fully opensource spiking neural network accelerator☆134Updated last year
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆23Updated 4 years ago
- A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).☆22Updated 3 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆15Updated 3 years ago
- ☆18Updated 2 years ago
- A "gym" style toolkit for building lightweight NAS systems.☆13Updated 2 years ago
- Implementation of Kronecker Attention in Pytorch☆18Updated 4 years ago
- ☆14Updated 5 years ago
- A Learnable LSH Framework for Efficient NN Training☆31Updated 3 years ago
- flexible meta-learning in jax☆12Updated last year
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Updated 4 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 3 years ago
- 👑 Pytorch code for the Nero optimiser.☆20Updated 2 years ago
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆21Updated 3 years ago
- Benchmarking PyTorch 2.0 different models☆21Updated last year
- A collection of optimizers, some arcane others well known, for Flax.☆29Updated 3 years ago
- Adversarial examples to the new ConvNeXt architecture☆20Updated 3 years ago
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Produce intelligence by means of natural selection without objective/reward optimization☆14Updated 3 years ago
- ☆12Updated 4 years ago