mekonnenassefa
Data scientist, interested in Neural Network, Deep Learning, AI, NLP, and Marketing
Kodastropi Marketing SolutionAddis Ababa
mekonnenassefa's Stars
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
jmanhype/AI_Tools_and_Papers_Providers_Frameworks
AI_Tools_and_Papers_Providers_Frameworks is a curated collection of AI resources, including tools, papers, frameworks, and providers. It covers various categories such as Cloud SaaS Tools, Python Modules, GitHub Repos, and Scientific Papers. Discover valuable references for AI development and research.
openai/openai-cookbook
Examples and guides for using the OpenAI API
dreamquark-ai/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
dqsis/child-growth-charts
Graphically assess a child's development according to the World Health Organization growth standards
williamSYSU/TextGAN-PyTorch
TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
unifyid-labs/DeepGenStruct-Notebooks
We propose a Seed-Augment-Train/Transfer (SAT) framework that contains a synthetic seed image dataset generation procedure for languages with different numeral systems using freely available open font file datasets
tilayealemu/MelaNet
Amharic speech recognition using Deep Learning
jonnyhyman/Chaos
Visualizations of the connections between chaos theory and fractals through the logistic map; made for Veritasium YouTube video
plotly/jupyter-dash
OBSOLETE - Dash v2.11+ has Jupyter support built in!
Coding-with-Adam/Dash-by-Plotly
Interactive data analytics
yacineMahdid/artificial-intelligence-and-machine-learning
A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
adarsh1021/Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ASHOKKUMAR-K/Machine-Learning-Algorithms-From-Scratch
This Repository consists of popular Machine Learning Algorithms implemented from scratch using python
mahmoudparsian/data-algorithms-book
MapReduce, Spark, Java, and Scala for Data Algorithms Book
resource-watch/data-pre-processing
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
PacktPublishing/Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash
Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt
plotly/dash
Data Apps & Dashboards for Python. No JavaScript Required.
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
CODATA-RDA-DataScienceSchools/CODATA-RDA-DataScienceSchools.github.io
Web site for CODATA-RDA schools
CODATA-RDA-DataScienceSchools/Materials
Holder for Pages and Materials for the CODATA/RDA Schools for Research Data Science
Zymrael/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
bat67/pytorch-tutorials-examples-and-books
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
hope-miky/Ethiopian-MNIST
Letters dataset for Ethiopian(Amharic) language
rladies/rladiesguide
Source for R-Ladies organizational guidance
iamericfletcher/awesome-r-learning-resources
A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).
markusschanta/awesome-jupyter
A curated list of awesome Jupyter projects, libraries and resources
ossu/data-science
📊 Path to a free self-taught education in Data Science!