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IBM Watson Research
- New York
- http:https://brianvaughan.net
- @nairbv
- in/brianmvaughan
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A native PyTorch Library for large model training
Development repository for the Triton language and compiler
🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash attention v2.
Unified storage framework for the entire machine learning lifecycle
What would you do with 1000 H100s...
A latent text-to-image diffusion model
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Find usage statistics (imports, function calls, attribute access) for Python code-bases
End-to-End Object Detection with Transformers
Collective communications library with various primitives for multi-machine training.
nairbv / vision
Forked from pytorch/visionDatasets, Transforms and Models specific to Computer Vision
Datasets, Transforms and Models specific to Computer Vision
Perform data science on data that remains in someone else's server
Multi Model Server is a tool for serving neural net models for inference
a plugin for the Anki Spaced Repitiion Software http:https://ichi2.net/anki/
Diem’s mission is to build a trusted and innovative financial network that empowers people and businesses around the world.
Mocking HTTP services on Akka HTTP for integration testing
nairbv / pytorch
Forked from pytorch/pytorchTensors and Dynamic neural networks in Python with strong GPU acceleration
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A start at a chess game written as part of an interview process
Apache Spark - A unified analytics engine for large-scale data processing