Jeonghoon's repositories
nnq_cnd_study
nnq_cnd_study stands for Neural Network Quantization & Compact Networks Design Study
Binarized_Neural_Network_Pytorch
Courbariaux, Matthieu, Yoshua Bengio, and Jean-Pierre David. "Binaryconnect: Training deep neural networks with binary weights during propagations." Advances in neural information processing systems. 2015.
XNOR-Net-PyTorch-Jupyter
Implementation of "XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks"
Naver-Movie-Review-Sentiment-Analysis
#BERT #NMRSA #Classification #Korean #LanguageModel
awesome-mlops
A curated list of references for MLOps
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
LG-Vision-Academy
LG AI Intermediate Courses (Computer Vision)
loss-landscape
Code for visualizing the loss landscape of neural nets
PyTorch-ENet
PyTorch implementation of ENet
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
ReinforcementLearningAtoZ
The official code repository of Fastcampus <Reinforcement Learning A-Z> (패스트 캠퍼스 강화학습 A-Z)
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
BitSplit
BitSplit Post-trining Quantization
BRECQ
Pytorch implementation of BRECQ, ICLR 2021
dnn-quant-ocs
DNN quantization with outlier channel splitting
llm-awq
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
LSQFakeQuantize-PyTorch
FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
LSQuantization
The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
metaseq
Repo for external large-scale work
mistral
Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging Face 🤗 Transformers.
overhaul-distillation
Official PyTorch implementation of overhaul distillation
penpaperkeycode.github.io
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
tensor_parallel
Automatically split your PyTorch models on multiple GPUs for training & inference
TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.