lvchenyangai Goto Github PK

lsq-net

Unofficial implementation of LSQ-Net, a neural network quantization framework

lsquantization

The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)

maddpg-pytorch

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

mnist_pact

mockturtle

C++ logic network library

mtlpy

An open source Python Module for EPFL Mockturtle

natsql

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

note-of-anoconda

daily record

note-of-markdown

keep hungry keep foolish

openabc

OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.

pact

Reproducing Quantization paper PACT

pytorch-a3c

Simple A3C implementation with pytorch + multiprocessing

pytorch-quantization-aware-training

PyTorch Quantization Aware Training Example

pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

pytorx

Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

react

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

reinforcement-learning-tutorial

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

resnet20_cifar10_pact

resnet20_cifar10_pact1

resnet20_cifar10_pact2

rlexample

Some basic examples of playing with RL

seqgan

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

simtrans-weak-shot-classification

[NeurIPS 2021] The first weak-shot classification paper.

snn-conversion

snn.github.io

snn project

snn_optimal_conversion_pipeline

Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks

snn_toolbox

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

snntoolbox_applications

Collection of Spiking Neural Network applications for SNN Toolbox.