Pinned Repositories
apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
ChannelNet
Implementation of the paper "Deep Learning-Based Channel Estimation"
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
HandsOnDeepLearningWithPytorch
Code snippets and applications explained in the book - HandsOnDeepLearningWithPytorch
Megatron-LM
Ongoing research training transformer language models at scale, including: BERT & GPT-2
MortgageWorkflowA
An initial workflow for tabular deep learning, tested on the mortgage dataset, to be used for profiling I/O and GPU/CPU Usage.
NeMo
Neural Modules: a toolkit for conversational AI
nlp
notebooks-extended
RAPIDS Community Notebooks
sentence-classification
Sentence classification using NeMo and BERT.
ericharper's Repositories
ericharper/sentence-classification
Sentence classification using NeMo and BERT.
ericharper/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
ericharper/ChannelNet
Implementation of the paper "Deep Learning-Based Channel Estimation"
ericharper/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
ericharper/HandsOnDeepLearningWithPytorch
Code snippets and applications explained in the book - HandsOnDeepLearningWithPytorch
ericharper/Megatron-LM
Ongoing research training transformer language models at scale, including: BERT & GPT-2
ericharper/MortgageWorkflowA
An initial workflow for tabular deep learning, tested on the mortgage dataset, to be used for profiling I/O and GPU/CPU Usage.
ericharper/NeMo
Neural Modules: a toolkit for conversational AI
ericharper/nlp
ericharper/notebooks-extended
RAPIDS Community Notebooks
ericharper/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
ericharper/tabular-preprocessing
ericharper/dataloaders
ericharper/kaggle-ieee-fraud
ericharper/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.