indra-ipd Goto Github PK

globalroutingproblemgenerator

Benchmark Generator for Global Routing

graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

haddoc2

Caffe to VHDL - by DREAM research group

haet-2021-competition-baseline-code

high-performance-computing-with-python-3.x

High-Performance Computing with Python 3.x, published by Packt

ibm-quantum-challenge-2021

For IBM Quantum Challenge 2021 (May 20 - 26)

indra-ipd.github.io

My Page

inna-for-deeplearning

This repository contains the code of the INDIAN algorithm to train deep neural networks

jiep2018_nov_seminar

jon_barron_website

keras-opt

Keras Scipy optimize interface

l-bfgs-with-mapreduce

lbfgs-tr

Limited Memory BFGS with Trust Region

learning-to-learn-by-gradient-descent-by-gradient-descent

Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"

lookahead

Implementation for the Lookahead Optimizer.

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mca-vtu-lab-manual

Fossalized Lab Manual for MCA.

medium

A bunch of jupyter notebooks

meep

free finite-difference time-domain (FDTD) software for electromagnetic simulations

mi_plot

mica-deep-mcca

Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets

minsqn

Optimization using Stochastic quasi-Newton methods

mit-6.s094

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

mlprojects

mole-bert

[ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"

moleculargnn_3dstructure

Graph neural network (GNN) for molecular property prediction (3D structure)

msc-project

MSc Project and dissertation which explores the deployment of a deep neural network on a Xilinx PYNQ-Z1 FPGA.

multi-agent-emergence-environments

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

multi-agent-reinforcement-learning-environment

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

multi-batch-lbfgs

This is an implementation of multi-batch L-BFGS algorithm which has been tested on CIFAR-10 dataset.