Pinned Repositories
30daysof
30 Day of Learning Resources, Samples and Curricula
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
be-theboss-in-python
This repo helps you to be the boss in Python.
data-engineering-zoomcamp
Free Data Engineering course!
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data-Science-using-Python
This Repository includes Data Preprocessing, Data Visualization and many other important content related to Data Science
datathon-kca
This repository is created courtesy of a datathon competition organised by KCA University in November 2022
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deployment-flask
Fake_News_Detection
Fake News Detection in Python
Julius-dev-2200243's Repositories
Julius-dev-2200243/super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Julius-dev-2200243/New-User-Engagement-Challenge
Julius-dev-2200243/be-theboss-in-python
This repo helps you to be the boss in Python.
Julius-dev-2200243/freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
Julius-dev-2200243/datathon-kca
This repository is created courtesy of a datathon competition organised by KCA University in November 2022
Julius-dev-2200243/machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Julius-dev-2200243/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Julius-dev-2200243/30daysof
30 Day of Learning Resources, Samples and Curricula
Julius-dev-2200243/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Julius-dev-2200243/snake-ai-pytorch
Julius-dev-2200243/data-engineering-zoomcamp
Free Data Engineering course!
Julius-dev-2200243/Website-data
All files of thecleverprogrammer.com
Julius-dev-2200243/Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
Julius-dev-2200243/mlops-zoomcamp
Free MLOps course from DataTalks.Club
Julius-dev-2200243/tensorflow
An Open Source Machine Learning Framework for Everyone
Julius-dev-2200243/mindsdb
In-Database Machine Learning
Julius-dev-2200243/numpy
The fundamental package for scientific computing with Python.
Julius-dev-2200243/scikit-learn
scikit-learn: machine learning in Python
Julius-dev-2200243/seaborn
Statistical data visualization in Python
Julius-dev-2200243/ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
Julius-dev-2200243/annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Julius-dev-2200243/ML-Notebooks
:fire: A series of code examples for all sorts of machine learning tasks and applications.
Julius-dev-2200243/Data-Science-using-Python
This Repository includes Data Preprocessing, Data Visualization and many other important content related to Data Science
Julius-dev-2200243/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Julius-dev-2200243/Fake_News_Detection
Fake News Detection in Python
Julius-dev-2200243/RWF2000-Video-Database-for-Violence-Detection
A large scale video database for violence detection, which has 2,000 video clips containing violent or non-violent behaviours.
Julius-dev-2200243/Deployment-flask
Julius-dev-2200243/web-scraping-with-python-2848331
Web Scraping with Python
Julius-dev-2200243/Whatsapp-Analysis
Julius-dev-2200243/ml-app
machine learning app using streamlit + scikit-learn for Random Forest algorithm.