Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.
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Oct 19, 2016 - Lua
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character-level
Here are 27 public repositories matching this topic...
Code accompanying Incorporating Chinese Characters of Words for Lexical Sememe Prediction (ACL2018) https://arxiv.org/abs/1806.06349
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Sep 28, 2018 - Python
Multi lingual character based named entity recognizer
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Apr 8, 2018 - Python
Implementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus
keras attention-mechanism natural-language-inference snli character-level intra-attention repeval mnli multinli
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Nov 24, 2017 - Python
a 5M parameter solution to a problem you could solve by counting on your fingers
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Apr 11, 2026 - Python
LittleLM: A tiny character-level n-gram language model for local corpus building and collaborative experimentation.
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Mar 21, 2026 - Python
🤖 From-scratch GPT in PyTorch — bigram, single-head & multi-head attention • FastAPI /generate endpoint • React + Vite frontend • Character-level tokenizer • CUDA support
react python machine-learning typescript deep-learning tokenizer text-generation pytorch embeddings transformer gpt language-model encoder-decoder character-level self-attention multi-head-attention fastapi nanogpt
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Jul 8, 2026 - Python
In this project, I worked with a small corpus consisting of simple sentences. I tokenized the words using n-grams from the NLTK library and performed word-level and character-level one-hot encoding. Additionally, I utilized the Keras Tokenizer to tokenize the sentences and implemented word embedding using the Embedding layer. For sentiment analysis
word-embeddings corpus seq2seq ngrams character-level character-level-language-model word-level-language-model one-hot-encoding pre-trained-word-embedding pre-trained-glove-6b word-level
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Aug 1, 2023 - Jupyter Notebook
TapeLM: facts as fingerprints on character ink — not token-id memory, not chunk RAG. One frozen curve encoder for generation and structured slot memory (write, bind, hop, resolve). Noisy recall, lexicon calibration, one-shot edits, clean unlearning — vs fair GPT/RAG; reproducible JSON benchmarks.
nlp conflict-resolution information-retrieval reproducible-research fp pytorch bindings calibration representation-learning language-model cross-domain character-level machine-unlearning episodic-memory memory-augmented-neural-networks knowledge-editing retrieval-augmented-generation research-code frozen-backbone
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Jul 30, 2026 - Python
build your own GPT, one letter at a time - a character-level GPT trained from scratch on public-domain books: trainer, corpus pipeline, benchmark harness, and 5 trained models
nlp education benchmark deep-learning pytorch transformer public-domain gpt language-model character-level llm nanogpt
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Jul 10, 2026 - Python
TinyTalker is a small GPT model based on a character level tokenization system built from scratch. You can prompt it or train it on your own data super easily. It is also super small and can be ran on laptops.
machine-learning deep-learning text-generation pytorch transformer educational gpt language-model character-level llm nanogpt small-language-model
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Jun 6, 2025 - Python
Process text as character paths rather than BPE tokens to manage knowledge through operable vectors without RAG or retraining.
nlp information-retrieval reproducible-research pytorch representation-learning language-model character-level machine-unlearning episodic-memory memory-augmented-neural-networks knowledge-editing retrieval-augmented-generation research-code
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Jul 30, 2026
A learning lab for teaching myself to build a character-level language model from scratch
python machine-learning deep-learning neural-network embeddings educational language-model from-scratch character-level
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Jun 28, 2026 - Python
Character-level fork of Fairseq for sequence-to-sequence learning
transliteration seq2seq sequence-to-sequence char-level-cnn character-level fairseq char-level-rnn char-level-lstm
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Oct 23, 2018 - Python
Explore AI-powered text generation with a character-level transformer model that mimics Shakespeare’s style.
nlp open-source machine-learning deep-learning text-generation pytorch transformer shakespeare character-level
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Aug 1, 2024 - Jupyter Notebook
An implementation of character level text generation with LSTM.
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Oct 29, 2020 - Jupyter Notebook
Optimized LSTM-based character-level text generator trained on Shakespeare, achieving 3.5x faster training with mixed precision.
python nlp machine-learning natural-language-processing deep-learning text-generation pytorch lstm neural-networks rnn academic-project shakespeare character-level gpu-optimization mixed-precision
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Sep 25, 2025 - Python
A decoder-only GPT built from scratch in pure PyTorch — no nn.Transformer, no HuggingFace. Character-level, writes pseudo-Shakespeare in ~20 min on a laptop CPU. Streaming web playground, 31 tests, every design choice motivated inline.
education machine-learning ai deep-learning neural-network pytorch transformer educational attention gpt language-model from-scratch character-level self-attention mingpt llm nanogpt
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Jul 7, 2026 - Python
A simple implementation of a Markov chain text generator that can work at both character and word levels.
python nlp markov-model natural-language-processing markov-chain text-generation language-model character-level word-level
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Aug 7, 2025 - Python
Does a position embedding help a character-level Bengio MLP? Experimental study with parameter-matched controls and a context-length sweep.
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May 28, 2026 - Jupyter Notebook
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