|
|
MLM Eval — Masked Accuracy
|
medium
|
end_to_end |
|
|
|
MLM Forward Pass
|
medium
|
end_to_end |
|
|
|
Adapter Layer
|
medium
|
end_to_end |
|
|
|
Training Loop
|
easy
|
end_to_end |
|
|
|
Logistic Regression From Scratch
|
easy
|
end_to_end |
|
|
|
Data Augmentation
|
medium
|
end_to_end |
|
|
|
Transformer Encoder Block
|
hard
|
end_to_end |
|
|
|
Multi-Class Classifier
|
easy
|
end_to_end |
|
|
|
Gradient Clipping
|
easy
|
end_to_end |
|
|
|
Transformer Decoder Block
|
hard
|
end_to_end |
|
|
|
BPE Encode Text
|
hard
|
end_to_end |
|
|
|
Feature Normalization Pipeline
|
easy
|
end_to_end |
|
|
|
Eval Loop with Metrics
|
medium
|
end_to_end |
|
|
|
Gradient Accumulation
|
medium
|
end_to_end |
|
|
|
Mini-Batch Training
|
medium
|
end_to_end |
|
|
|
Beam Search
|
hard
|
end_to_end |
|
|
|
Model Checkpointing
|
easy
|
end_to_end |
|
|
|
MLM Masking Strategy
|
medium
|
end_to_end |
|
|
|
Word Embedding Model
|
medium
|
end_to_end |
|
|
|
Polynomial Regression
|
medium
|
end_to_end |
|
|
|
Autoencoder
|
medium
|
end_to_end |
|
|
|
Linear Regression
|
easy
|
end_to_end |
|
|
|
Tokenize and Pad Batch
|
medium
|
end_to_end |
|
|
|
Weight Initialization
|
easy
|
end_to_end |
|
|
|
ViT with Mixup Augmentation
|
medium
|
end_to_end |
|
|
|
Simple RNN Cell
|
medium
|
end_to_end |
|
|
|
Binary Classifier
|
easy
|
end_to_end |
|
|
|
Causal Self-Attention Block
|
medium
|
end_to_end |
|
|
|
Distributed Training Step End-to-End
|
hard
|
end_to_end |
|
|
|
DDPM Sampler Loop
|
hard
|
end_to_end |
|
|
|
DDPM Training Step End-to-End
|
medium
|
end_to_end |
|
|
|
Simple GAN Generator
|
hard
|
end_to_end |
|
|
|
Learning Rate Scheduler
|
medium
|
end_to_end |
|
|
|
Multi-Head Attention Block
|
hard
|
end_to_end |
|
|
|
Train Binary Classifier End-to-End
|
medium
|
end_to_end |
|
|
|
Nucleus Sampling Generation Loop
|
hard
|
end_to_end |
|
|
|
Two-Layer MLP
|
easy
|
end_to_end |
|
|
|
GRU Cell
|
medium
|
end_to_end |
|
|
|
Train Image Classifier End-to-End
|
medium
|
end_to_end |
|
|
|
Train LoRA Adapter End-to-End
|
medium
|
end_to_end |
|
|
|
LSTM Cell
|
medium
|
end_to_end |
|
|
|
Train Multiclass Classifier with Early Stopping
|
medium
|
end_to_end |
|
|
|
Train RNN Language Model
|
hard
|
end_to_end |
|
|
|
Train VAE End-to-End
|
medium
|
end_to_end |
|
|
|
Train with Adam End-to-End
|
medium
|
end_to_end |
|
|
|
Skip Connection Block
|
medium
|
end_to_end |
|
|
|
Transformer Block with RoPE
|
hard
|
end_to_end |
|
|
|
Causal LM Forward Pass
|
medium
|
end_to_end |
|
|
|
Sequence Classifier
|
medium
|
end_to_end |
|
|
|
Self-Attention Layer
|
hard
|
end_to_end |
|
|
|
LLaMA-Style Transformer Block
|
hard
|
end_to_end |
|
|
|
Causal LM with KV Cache Generation
|
hard
|
end_to_end |
|
|
|
Cross-Attention Block
|
medium
|
end_to_end |
|
|
|
Encoder-Decoder Transformer Forward Pass
|
hard
|
end_to_end |
|
|
|
Simple CNN
|
medium
|
end_to_end |
|
|
|
Encoder-Decoder Greedy Decode
|
medium
|
end_to_end |
|
|
|
Encoder-Decoder Beam Search
|
hard
|
end_to_end |
|
|
|
MLM Forward with Tied Output Head
|
medium
|
end_to_end |
|
|
|
Train ViT Classifier End-to-End
|
hard
|
end_to_end |
|
|
|
ViT Classification Forward
|
hard
|
end_to_end |
|
|
|
ViT Encoder Block
|
medium
|
end_to_end |
|
|
|
Patch Embedding with CLS Token
|
medium
|
end_to_end |
|
|
|
Train Causal LM Pretraining Step
|
hard
|
end_to_end |
|
|
|
Train Encoder-Decoder Seq2Seq Step
|
hard
|
end_to_end |
|
|
|
Train MLM Pretraining Step
|
hard
|
end_to_end |
|
|
|
Train Tiny GPT End-to-End
|
hard
|
end_to_end |
|
|
|
Pure Function vs Impure
|
easy
|
end_to_end |
|
|
|
Jit with static_argnames
|
medium
|
end_to_end |
|
|
|
Tracer Leak Detection
|
medium
|
end_to_end |
|
|
|
Tracing: Shape vs Value
|
medium
|
end_to_end |
|