The 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 than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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🧠 Train a 64M-parameter LLM from scratch in just 2h!
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
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.
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
A collection of machine learning examples and tutorials.
👀 Train a 65M-parameter VLM from scratch in just 2h!
- artificial-intelligence
- chatgpt
- vision-language-model
Standard and Advanced Demos for learn.cantrill.io courses
TranslatedMultimodal retrieval in practice: intent recognition, prompt engineering, Qwen LoRA, EmbeddingGemma 2, and InfoNCE contrastive learning. Includes real demos, integration of your own data, training and evaluation, and a learning guide to RAG retrieval components.
- clip
- ecommerce
- image-retrieval
- image-search