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BERT score for text generation
official implementation for the paper "Simplifying Graph Convolutional Networks"
Low Precision Arithmetic Simulation in PyTorch
Code release for "TempLM: Distilling Language Models into Template-Based Generators"
Repositories
24BERT score for text generation
No description provided.
official implementation for the paper "Simplifying Graph Convolutional Networks"
Low Precision Arithmetic Simulation in PyTorch
No description provided.
A very manual GPT implementation
Clean, minimal, accessible reproduction of DeepSeek R1-Zero
No description provided.
SWE-bench [Multimodal]: Can Language Models Resolve Real-world Github Issues?
Code release for "TempLM: Distilling Language Models into Template-Based Generators"
No description provided.
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)
random code collection for visuals
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Easily fine tune GPT-2 to fill in missing text
Intended to implement papers on neural dialogue generation
For the code release of our arXiv paper "Revisiting Few-sample BERT Fine-tuning" (https://arxiv.org/abs/2006.05987).
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
No description provided.
Reproduction of WAGE in PyTorch.
Framework for learning dialogue agents in a two-player game setting.
Jupiter neural network library