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SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
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[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
Open sourced predictions, execution logs, trajectories, and results from model inference + evaluation runs on the SWE-bench task.
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🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
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ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.
Semantic Supervision: Enabling Generalization over Output Spaces
Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃
Data and software for building the ACL Anthology.
EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings
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Hugging Face tutorials
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Make drawing and labeling bounding boxes easy as cake
Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.
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