TildAlice – Tech Blog for Developers
Python, AI, Deep Learning, Data Analysis, Computer Vision, Reinforcement Learning โ tips and tutorials
Latest Posts
-
Gymnasium vs Stable Baselines3 vs RLlib: API Complexity
Beginners waste weeks on RLlib setup before training one agent. Here's why Stable Baselines3 beats distributed frameworks for your first 3 RL projects.
-
FFT Shows No Peaks: 4 Sensor Setup Mistakes That Kill Spectra
Diagnose why your FFT shows no peaks with these 4 critical sensor setup mistakes. Learn proper sampling rates, gain settings, and mounting techniques.
-
TorchAO vs ONNX Runtime: 8-bit Quantization Benchmark
Compare TorchAO vs ONNX Runtime 8-bit quantization performance. Benchmark results reveal surprising differences in speed, accuracy, and memory usage.
-
LangChain vs LlamaIndex: RAG Latency on 10K Documents
LangChain vs LlamaIndex on 10K docs: 3x latency gap, 2x memory difference. Real query benchmarks reveal which RAG framework wins.
-
Segment Tree Off-by-One: 5 Bugs That Break Range Queries
Fix the 5 off-by-one bugs that silently break segment trees โ child indexing, range splits, lazy propagation. Includes runnable code + failing test cases.
-
tracemalloc vs memray vs Py-Spy: Profiler Overhead Cost
Compare Python memory profilers: tracemalloc, memray, and Py-Spy overhead costs. Which one is fastest? Performance benchmarks reveal the winner.
-
Virtual Environments Broke My First Django App: Skip Them
Virtual environments add 45% cognitive load to beginners who won't hit dependency conflicts for months. Here's when to skip venv and when to adopt it.
-
ViT vs CNN vs Hybrid: Latency & Accuracy on 5K Images
Compare ViT, CNN, and Hybrid models on 5K imagesโdiscover which architecture wins the latency vs accuracy tradeoff for your computer vision project.