Daniel Kwame Amissah's repositories
1806
18.06 course at MIT
awesome-high-performance-computing
A curated list of awesome high performance computing resources
awesome-hpc
A collection of Awesome HPC software and tools
CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Computer-Vision
Implementations of many computer vision concepts such as Roberts/Sobel operators, edge/corner detector algorithms, Gaussian filter/pyramid, feature matching, and etc.
DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
CTGAN
Conditional GAN for generating synthetic tabular data.
cunumeric
An Aspiring Drop-In Replacement for NumPy at Scale
fast_artistic-style-transfer
This is the implementation for the paper: Perceptual Losses for Real-Time Style Transfer and Super-Resolution
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
hpx
The C++ Standard Library for Parallelism and Concurrency
HypONIC
HypONIC is a hyperparameter optimization library that uses various nature inspired computing algorithms to optimize the hyperparameters of machine learning models. The library provides a simple interface for sklearn and keras models.
kompute
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
metaheuristics
Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)
Metaheuristics-algorithms-in-machine-learning-projects
Applications of Metaheuristics algorithms in machine learning and data science projects (Including hyperparameter optimization and feature selection))
MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
Modified-Structure-Function-algorithm-MATLAB
Dynamic speckle algorithm, showing distribution of activity of controlled sample
Modified-Structure-Function-algorithm-Python
Dynamic speckle algorithm, showing distribution of activity of controlled sample
Papers-in-100-Lines-of-Code
Implementation of papers in 100 lines of code.
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Reproducibility-of-Optimally-Controllable-Perceptual-Lossy-Compression
This is the final project for EECS 553, Fall 2022
TheArtOfHPC_vol2_parallelprogramming
Public repository for vol 2 of The Art of HPC: parallel programming
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
Transformers-for-NLP-and-Computer-Vision-3rd-Edition
Transformers 3rd Edition
udlbook
Understanding Deep Learning - Simon J.D. Prince
VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch