Animated educational video generator for Targeted Maximum Likelihood Estimation (TMLE) causal inference using Manim animations and Chinese TTS narration
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Updated
Mar 28, 2026 - Python
Animated educational video generator for Targeted Maximum Likelihood Estimation (TMLE) causal inference using Manim animations and Chinese TTS narration
A bilingual Jupyter Book that teaches reinforcement learning through failure cases and ablation experiments.
Training repo for Toy GPT: Context-2 model with embeddings + small domain corpus (030_analytics.txt). Much more efficient use of space.
Training repo for Toy GPT: Context-3 model + small neutral corpus (000_cat_dog.txt)
Training repo for Toy GPT: context-3 model + small structured corpus (001_animals.txt)
Training repo for Toy GPT: Context-2 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.
Training repo for Toy GPT: unigram model + small structured corpus (001_animals.txt)
Training repo for Toy GPT: context-2 model + small domain corpus (010_llm_glossary.txt)
在 3D 空间拖拽积木搭建神经网络,实时形状校验 + PyTorch 真实训练 | Build neural networks with 3D blocks
Training repo for Toy GPT: unigram + small neutral corpus (000_cat_dog.txt)
Training repo for Toy GPT: bigram + small neutral corpus (000_cat_dog.txt)
Training repo for Toy GPT: Context-2 model + small neutral corpus (000_cat_dog.txt)
Training repo for Toy GPT: bigram model + small structured corpus (001_animals.txt)
Training repo for Toy GPT: context-2 model + small structured corpus (001_animals.txt)
Training repo for Toy GPT: Context-3 model with attention + small domain corpus (030_analytics.txt). Attention requires scale.
Training repo for Toy GPT: bigram model + small domain corpus (010_llm_glossary.txt)
An interactive 98K-parameter language model built from scratch — visualize data, prediction, loss, gradients, weight updates, pre-training, and fine-tuning.
🚀 Train a custom unigram model using simple and efficient methods, enabling easy adoption for natural language processing tasks.
Guided undergraduate notebooks on diffusion, flow matching, deterministic sampling, and post-hoc generative-model steering, with a validated CIFAR-10 EDM bridge.
An ~8M parameter LLM that talks like a tiny robot vacuum.
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