koushikam

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

basic_reinforcement_learning

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

coursera-gan-specialization

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

CurriculumNeRF

Improved Camera Pose Estimation for NeRFs with Curriculum Learning

Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access

Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

Dynamic-SHAP-Plots

Enabling interactive plotting of the visualizations from the SHAP project.

Multi_Kernel-Adaptive-SVM

SVM model to implement Federated/Distributed learning and Transfer Learning from pretrained models

ns-3-python-examples

Example python programs for ns-3

NS3

Dense WiFi Network in NS3 using Python.

koushikam/Multi_Kernel-Adaptive-SVM

SVM model to implement Federated/Distributed learning and Transfer Learning from pretrained models

koushikam/amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

koushikam/coursera-gan-specialization

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

koushikam/CurriculumNeRF

Improved Camera Pose Estimation for NeRFs with Curriculum Learning

koushikam/Dynamic-SHAP-Plots

Enabling interactive plotting of the visualizations from the SHAP project.

koushikam/enkf-for-neural-network

Software Repository accompanying the paper "Ensemble Kalman Filter optimizing Deep NeuralNetworks: An alternative approach to non-performing Gradient Descent"

koushikam/google-research

Google Research

koushikam/Graph-Machine-Learning

Graph Machine Learning, published by Packt

koushikam/HDNNP

high dimensional neural network potential

koushikam/Interpretable-Machine-Learning-with-Python

Interpretable Machine Learning with Python, published by Packt

koushikam/Leetcode

🎓Leetcode solutions in Python 📚

koushikam/LeetCode-Solutions

🏋️ Python / Modern C++ Solutions of All 2354 LeetCode Problems (Weekly Update)

koushikam/Linear_Programming

LP_Matlab_Code

koushikam/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

koushikam/medicaldiffusion

Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis

koushikam/Microsoft-Activation-Scripts

A Windows and Office activator using HWID / KMS38 / Online KMS activation methods, with a focus on open-source code and fewer antivirus detections.

koushikam/opendr

koushikam/OpenRadar

An open source library for interacting with and processing radar data, specialized for MIMO mmWave radars

koushikam/peakonly

koushikam/PiNN

A Python library for building atomic neural networks

koushikam/Pose2Mesh_RELEASE

Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020

koushikam/pyphysim

Simulation of Digital Communication (physical layer) in Python.

koushikam/python-fmcw

Tutorials on frequency modulated continuous wave (FMCW) and Chirp Sequence Modulation RADAR algorithms.

koushikam/secure-xgboost

Secure collaborative training and inference for XGBoost.

koushikam/sharpened-cosine-similarity

An alternative to convolution in neural networks

koushikam/smplpix

SMPLpix: Neural Avatars from 3D Human Models

koushikam/SST

koushikam/state-spaces

Sequence Modeling with Structured State Spaces

koushikam/syne-tune

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

koushikam/WMMSE-deep-unfolding