flairR: Bring Amazing Flair NLP to R
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Updated
Sep 19, 2024 - R
flairR: Bring Amazing Flair NLP to R
GPT-α is a 124 million parameter decoder-only transformer based language model following the architecture of GPT-2 and training process of GPT-3. The model achieves state-of-the-art results for a model of this size.
An offline CPU-first memory-scarce chat application to perform RAG on your corpus of data. Powered by OpenChat and CTranslate2.
Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.
PyTorch native quantization and sparsity for training and inference
RXNMapper: Unsupervised attention-guided atom-mapping. Code complementing our Science Advances publication on "Extraction of organic chemistry grammar from unsupervised learning of chemical reactions" (https://advances.sciencemag.org/content/7/15/eabe4166).
Large Language Model Text Generation Inference
A high-throughput and memory-efficient inference and serving engine for LLMs
A framework for few-shot evaluation of language models.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A Jest transformer using esbuild
A system leveraging deep learning and computer vision algorithms like YOLO, MediaPipe, and Transformers assesses threats to women by identifying hotspot locations, analyzing nearby gender ratios, and detecting suspects' emotions. It generates an SOS to the nearest police station for immediate assistance.
Scalable and user friendly neural 🧠 forecasting algorithms.
A TypeScript AST transformer that injects the position of log statements into the log messages during compilation
📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
DOM Markup Abstract Syntax Tree representation in compact JSON ╼╾ Specification, Transformer Library and CLI
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