Barry's starred repositories
machine-learning-specialization-andrew-ng
A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.
hands-on-train-and-deploy-ml
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
cs-video-courses
List of Computer Science courses with video lectures.
transfer-learning-conv-ai
🦄 State-of-the-Art Conversational AI with Transfer Learning
ColossalAI
Making large AI models cheaper, faster and more accessible
chatbot-ui
AI chat for every model.
chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
openai-cookbook
Examples and guides for using the OpenAI API
zero_to_gpt
Go from no deep learning knowledge to implementing GPT.
Questgen.ai
Question generation using state-of-the-art Natural Language Processing algorithms
14.388_py
This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI in the Department of Economics at MIT taught by Professor Victor Chernozukhov. All the scripts were in R and we decided to translate them into Python, so students can manage both programing languages. Jannis Kueck and V. Chernozukhov have also published the original R Codes in Kaggle. In adition, we included tutorials on Heterogenous Treatment Effects Using Causal Trees and Causal Forest from Susan Athey’s Machine Learning and Causal Inference course. We aim to add more empirical examples were the ML and CI tools can be applied using both programming languages.
AI_CV_improver
Improve your CV using Artificial Intelligence
public-apis
A collective list of free APIs
CommunityWriterPrograms
A list of Developer Community Writer Programs
ModernConvNets
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Awesome-Data-Science-Resoruces
A curated list of data science educational resources for essential data science skills
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
machine-learning-zoomcamp
Learn ML engineering for free in 4 months!