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amc

[ECCV 2018] PyTorch implementation for AMC: AutoML for Model Compression and Acceleration on Mobile Devices.

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

cudalibrarysamples

CUDA Library Samples

curator

deeplearningexamples

Deep Learning Examples

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

fairnas

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search

haq

[CVPR 2019, oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

hatsunemiku4.github.io

incubator-tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

lightweight-human-pose-estimation.pytorch

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

nas

Neural architecture search(NAS)

nlp-architect

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

nobel-nomination-viz

Visualization of Nobel nominations with Javascript and D3.js

openpose_train

Training repository for OpenPose

openposefpga_mobilenet

This is an HLS-based FPGA accelerator implementation for openpose application.

perftest

Infiniband Verbs Performance Tests

petals-pathway

pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

proxylessnas-1

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-tensorrt

pytorch model tensorrt inference code

pytorch_realtime_multi-person_pose_estimation

reaver

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo. Matches reference results.

roam2github-actions

sanger

sinan-local

tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.