Barryugo
I’m an experienced data scientist proficient in ML and DL. Open to meaningful collaborations on projects.
Barryugo's Stars
public-apis/public-apis
A collective list of free APIs
facebook/react
The library for web and native user interfaces.
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
openai/openai-cookbook
Examples and guides for using the OpenAI API
geekan/MetaGPT
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
mckaywrigley/chatbot-ui
Come join the best place on the internet to learn AI skills. Use code "chatbotui" for an extra 20% off.
openai/chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
mlc-ai/mlc-llm
Universal LLM Deployment Engine with ML Compilation
aws/aws-cli
Universal Command Line Interface for Amazon Web Services
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
mshumer/gpt-llm-trainer
malgamves/CommunityWriterPrograms
A list of Developer Community Writer Programs
huggingface/transfer-learning-conv-ai
🦄 State-of-the-Art Conversational AI with Transfer Learning
merveenoyan/my_notes
My small cheatsheets for data science, ML, computer science and more.
appleboy/CodeGPT
A CLI written in Go language that writes git commit messages or do a code review brief for you using ChatGPT AI (gpt-4o, gpt-4-turbo, gpt-3.5-turbo model) and automatically installs a git prepare-commit-msg hook.
VikParuchuri/zero_to_gpt
Go from no deep learning knowledge to implementing GPT.
ramsrigouthamg/Questgen.ai
Question generation using state-of-the-art Natural Language Processing algorithms
Paulescu/hands-on-train-and-deploy-ml
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
pmulard/machine-learning-specialization-andrew-ng
A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.
youssefHosni/Awesome-Data-Science-Resoruces
A curated list of data science educational resources for essential data science skills
Nyandwi/ModernConvNets
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
benthecoder/ClassGPT
ChatGPT for lecture slides
PieroPaialungaAI/AI_CV_improver
Improve your CV using Artificial Intelligence
thejat/mlops-notebooks
johnnygreco/hpqa
🪄 Harry Potter QA with GPT 🤖
d2cml-ai/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.
raselle/Team-Plotly