Makemore
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GitHub - karpathy/makemore: An autoregressive character-level …
WEBmakemore takes one text file as input, where each line is assumed to be one training thing, and generates more things like it. Under the hood, it is an autoregressive character-level language model, with a wide choice of models from bigrams all the way to a Transformer (exactly as seen in GPT).
Github.comGitHub - Anri-Lombard/makemore: Building Andrej Karpathy's …
WEBAndrej introduced the MLP approach to building makemore, which was discussed in the paper by Bengio et al. It consisted of 3 layers: input, hidden, and output. We looked at improving the model prediction by increasing the hidden layer size, and adjusting the learning rate as well as batch size - the batch size is used to increase the speed at
Github.comkarpathy/nn-zero-to-hero: Neural Networks: Zero to Hero - GitHub
WEBLecture 3: Building makemore Part 2: MLP. We implement a multilayer perceptron (MLP) character-level language model. In this video we also introduce many basics of machine learning (e.g. model training, learning rate tuning, hyperparameters, evaluation, train/dev/test splits, under/overfitting, etc.). YouTube video lecture; Jupyter notebook files
Github.commakemore/makemore.py at master · karpathy/makemore - GitHub
WEBAn autoregressive character-level language model for making more things - karpathy/makemore
Github.comAviSoori1x/makeMoE - GitHub
WEBThis is an implementation of a sparse mixture of experts language model from scratch. This is inspired by and largely based on Andrej Karpathy's project 'makemore' and borrows the re-usable components from that implementation.
Github.commakemore/README.md at master · karpathy/makemore - GitHub
WEBmakemore takes one text file as input, where each line is assumed to be one training thing, and generates more things like it. Under the hood, it is an autoregressive character-level language model, with a wide choice of models from bigrams all the way to a Transformer (exactly as seen in GPT).
Github.commakemore - GitHub
WEBmakemore takes one text file as input, where each line is assumed to be one training thing, and generates more things like it. Under the hood, it is an autoregressive character-level language model, with a wide choice of models from bigrams all the way to a Transformer (exactly as seen in GPT).
Github.comvincenschan/makeMoE- - GitHub
WEBThis is an implementation of a sparse mixture of experts language model from scratch. This is inspired by and largely based on Andrej Karpathy's project 'makemore' and borrows the re-usable components from that implementation.
Github.commakemore/build_makemore_mlp.ipynb at main - GitHub
WEBmakemore - makes more of things that's given as input - inspired by @Karpathy - aspiringastro/makemore
Github.commakemore · GitHub Topics · GitHub
WEBJan 18, 2023 · Add this topic to your repo. To associate your repository with the makemore topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
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