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loss-landscape

Code for visualizing the loss landscape of neural nets

lxmert

PyTorch code of our EMNLP 2019 paper "LXMERT"

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

megatron-lm

Ongoing research training transformer language models at scale, including: BERT

metapruning

mistral-src

Reference implementation of Mistral AI 7B v0.1 model.

mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

mos

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

multitask-mrc

Multitask Learning for Machine Reading Comprehension, NAACL 2019

netron

Visualizer for deep learning and machine learning models

nlpaug

Data augmentation for NLP

nmn2

Dynamically predicted neural network structures for multi-domain question answering

nmslib

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

nmt

TensorFlow Neural Machine Translation Tutorial

open_llama

pareto

Pareto Frontier Computation

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

pointer_summarizer

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

practical_rl

A course in reinforcement learning in the wild

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

promptsource

Toolkit for creating, sharing and using natural language prompts.

proppr

Graph-algorithm inferences over local groundings of first-order logic programs

pygp

A Gaussian process toolbox in python

pyrouge

A Python wrapper for the ROUGE summarization evaluation package

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-normalizing-flows

Normalizing flows in PyTorch. Current intended use is education not production.

pytorch_block_sparse

Fast Block Sparse Matrices for Pytorch

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch