Stars
A TensorFlow implementation of the Lion optimizer
A playbook for systematically maximizing the performance of deep learning models.
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!
Resumes generated using the GitHub informations
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The Python asyncio tutorial I wish existed earlier
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Pytorch-Named-Entity-Recognition-with-BERT
Latex code for making neural networks diagrams
a repo sharing Bayesian Neural Network recent papers
Exploratory analysis of Bayesian models with Python
Language Modeling and Text Classification in Malayalam Language using ULMFiT
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
Hierarchical Models for Sentiment Analysis in Pytorch
Use supervised learning to illuminate the latent space of GAN for controlled generation and edit
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Sentiment analysis with variable length sequences in pytorch
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.