Dilith Jayakody
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Kalman Filters - A Quick Introduction
Sharpness-Aware Minimization (SAM) - A Quick Introduction
Model Predictive Path Integral (MPPI) - A Quick Introduction
The Reparameterization Trick - Clearly Explained
Model-based vs. Model-free Reinforcement Learning - Clearly Explained
Q-Learning and SARSA in RL - Similarities and Differences Explained
Importance Sampling - Clearly Explained
Proximal Policy Optimization (PPO) - Explained
Transformers: A Quick Explanation with Code
Trust Region Policy Optimization (TRPO) - A Quick Introduction
REINFORCE - A Quick Introduction (with Code)
Actor-Critic Methods - A Quick Introduction (with Code)
Monte Carlo Tree Search - A Quick Introduction (with Code)
Policy Gradient - A Quick Introduction (with Code)
Dueling Networks - A Quick Introduction (with Code)
Double Deep Q-Networks (DDQN) - A Quick Intro (with Code)
Deep Q-Networks (DQN) - A Quick Introduction (with Code)
Q-learning - A Quick Introduction (with Code)
Custom Image Classifier with PyTorch - A Step-by-Step Guide
ColorRL for E2E Instance Segmentation: A Quick Overview
Reinforcement Cutting-Agent Learning for VOS - A Quick Overview
SeedNet for Interactive Segmentation - A Quick Overview
PARSeq for Scene Text Recognition: A Quick Overview
How to learn PyTorch for Free! - A Step-by-step Guide
Train a Custom OCR Model with DPAN (with Code)
SOTA in Scene Text Recognition 2022: A Quick Overview
Train a Custom OCR Model with CDistNet (with Code)
Train a Custom OCR Model with PARSeq (with Code)
Building a device for navigating in 3D!
Easy to Build Autonomous Robot Car (with Code)
Project Real Images with StyleGAN2
NT-Xent Loss - A Quick Overview
My Internship Experience at H2O.ai
How to Read MNIST Images in Java
GSoC: Tips for Getting Selected
A VR Image using OpenCV and Blender