Stars
Modern plain text accounting. Beancount compatible.
Save, load, host, and share AI model checkpoints without slowing down training. Host on Lightning AI or your own cloud with enterprise-grade access controls.
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own.
Accelerated pose estimation and tracking using semi-supervised learning
Smoothly deprecate and redirect Python functions/classes with smart warnings and auto-routing—keep your codebase clean while maintaining backward compatibility
Machine learning metrics for distributed, scalable PyTorch applications.
We are building an open database of COVID-19 cases with chest X-ray or CT images.
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
Python library to easily log experiments and parallelize hyperparameter search for neural networks
An index of public broadcasts tagged by their primary language.
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
Tensorflow GPU install instructions for ubuntu 16.04 - Deep learning
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Bayesian learning and inference for state space models
Docker image of Apache Spark with its Python interface, pyspark.
Using Keras and Deep Deterministic Policy Gradient to play TORCS
RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
🐼 A base docker image for your scientific data analysis projects.
Keras implementation of Deep Convolutional Generative Adversarial Networks