Pudja2001's repositories
Penentuan-PremiPasien-MRI
Repositories ini digunakan untuk menjalankan website Streamlit di Heroku
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
mixed-segdec-net-comind2021
Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"
GNN-for-text-classification
Graph convolutional networks (GCN), graphSAGE and graph attention networks (GAT) for text classification
Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
text_gcn
Graph Convolutional Networks for Text Classification. AAAI 2019
NYU-DLSP21
NYU Deep Learning Spring 2021
Human-Falling-Detect-Tracks
AlphaPose + ST-GCN + SORT.
ml-study-plan
The Ultimate FREE Machine Learning Study Plan
streamlit
Streamlit — The fastest way to build data apps in Python
ML-YouTube-Courses
A repository to index and organize the latest machine learning courses found on YouTube.
python-mini-projects
A collection of simple python mini projects to enhance your python skills
tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
wtfpython
What the f*ck Python? 😱
Data-science
Collection of useful data science topics along with code and articles
learn-python
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
msds621
Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.