This Repo has all the codes for my YouTube Channel
- 🐦 TWITTER: https://twitter.com/paulr_rohan
- 👨🔧 Kaggle: https://www.kaggle.com/paulrohan2020
- 👨🏻💼 LINKEDIN: https://www.linkedin.com/in/rohan-paul-b27285129/
- 👨💻 GITHUB: https://github.com/rohan-paul
- 🦾🤖: My Website and Blog: https://rohan-paul-ai.netlify.app/
- 🧑🦰 Facebook Page: https://www.facebook.com/Computer-Vision-with-Rohan-Paul-109348958325690
- 📸 Instagram: https://www.instagram.com/rohan_paul_2020/
-
38. DCGAN's Generator Function - Understanding Filter Size and Input Shape -
16. DCGAN from Scratch with Tensorflow Keras - Create Fake Images from CELEB-A Dataset
-
40. Image Augmentation with Albumentation - Kaggle TensorFlow Great Barrier Reef Dataset -
31. Understanding Shi-Tomasi Corner Detection Algorithm with OpenCV and Python -
30. Understanding Harris Corner Detection Algorithm with OpenCV Python -
29. Python Image Processing - Grayscale Conversion and Brightness Increase from Scratch Python
-
26 𝗣𝗮𝗽𝗲𝗿 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 - 𝗘𝘆𝗲𝘀 𝗧𝗲𝗹𝗹 𝗔𝗹𝗹 - 𝗗𝗲𝘁𝗲𝗰𝘁 𝗙𝗮𝗸𝗲 𝗔𝗜 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗳𝗮𝗰𝗲𝘀 ( 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 / 𝗚𝗔𝗡𝘀 ) -
14. GFP GAN Paper with Python code to restore resolution of old Photos
-
15 Keras Custom Layers and Fundamental Building Blocks For Training Model -
11. Tensorflow Mixed Precision Training - CIFAR10 dataset Implementation
-
22. Predict Transaction Value of Bank Customer - Kaggle Santander Challenge. -
7. Kaggle - Gravitational Wave Detection EDA and Baseline Keras Model
-
12. Codewars Python Solution - 6kyu - Format words into Sentence -
4. Useful Python Script - remove special character from files and folder names -
2. Python - Replace string in File and Directory names recursively
-
28. Bitcoin Price Prediction with LSTM (Tensorflow and Keras)- PART-2 -
25. Bitcoin Price Prediction with LSTM (Tensorflow and Keras)- PART-1 -
24. Get BitCoin and other Cryptocurrency Historic Data For Free with Python -
23 Extract Stock Market Data with yfinance for free and Tesla Stock Prediction
-
5. Bayes Theorem in Probability implementation - simple Data Science Interview question -
3. Probability Density Function for Discrete and Continuous Random Variable in context of Data Science
