Modular Auto-GPT Framework

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.

Visual Studio Code

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

AutoML library for deep learning

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.

The fastai deep learning library

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.

A Structured Self-attentive Sentence Embedding