eric8607242

SGNAS

[CVPR 2021] 'Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator'

OSNASLib

OSNASLib is a general one-shot NAS framework empowering uses to incorporate one-shot NAS methods into various tasks (e.g. face recongition) easily.

NAS_with_GNN_predictor

Neural architecture search utilizes the evolution algorithm and the GNN predictor.

PONAS

PONAS: Progressive One-shot Neural Architecture Search for Very Efficient Deployment

ImageCaption_Inference

Awesome-NAS

A curated list of neural architecture search (NAS) resources.

ICIP_YOLOv2_pytorch

AICUP_2020_Mango

Repo for the competition(AICUP 2020 Mango Defect Classification). Private Leaderboard(3th / 222)

NNImplement

Implement each kind of NN without using and deep learning framework

Pytorch-Deeplearning-Codebase

CS231N_2018_assignment

GDN

Non-official pytorch implementation of "[AAAI'21] Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"

llama.cpp

Port of Facebook's LLaMA model in C/C++

Opengl_mapping_implementation

awesome-architecture-search

A curated list of awesome architecture search resources

CNN-ED

Implementation for Convolutional Embedding for Edit Distance [SIGIR 2020]

ColossalAI

Colossal-AI: A Unified Deep Learning System for Big Model Era

darts

Differentiable architecture search for convolutional and recurrent networks

DrBC_pytorch

Face_Recognition_example

gpt-2-Pytorch

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

hidet

An open-source efficient deep learning framework/compiler, written in python.

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.

mmdetection

Open MMLab Detection Toolbox and Benchmark

nn_pruning

Prune a model while finetuning or training.

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

PyTorch-Base

PyTorch code base for efficiency.

Sass_EricStyle

talking-heads

Our implementation of "Few-Shot Adversarial Learning of Realistic Neural Talking Head Models" (Egor Zakharov et al.)

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.