Tony JiHyun Kim

LlamaFactory. Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Awesome-Korean-Speech-Recognition. 한국어 음성인식 STT API 리스트. 각 성능 벤치마크.

DocLayNet. DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis

3DMPPE_ROOTNET_RELEASE. Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

3DMPPE_POSENET_RELEASE. Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

VNect-tensorflow. Python

moco. PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

human_dynamics. Project for paper "Learning 3D Human Dynamics from Video"

MASS. Mathematica

DensePose. A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

cvxpylayers. Differentiable convex optimization layers

carbon. :black_heart: Create and share beautiful images of your source code

awesome-deep-text-detection-recognition. A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

SSD_Pytorch. support different SSDs and different scale test, support refineDet.

ClariNet. A Pytorch Implementation of ClariNet

FloWaveNet. A Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"

gpytorch. A highly efficient implementation of Gaussian Processes in PyTorch

Neural-Kernel-Network. Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326

state-of-the-art-result-for-machine-learning-problems. This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

autokeras. AutoML library for deep learning

Detectron.pytorch. A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

pytorch-yolo-v3. A PyTorch implementation of the YOLO v3 object detection algorithm

Augmentor. Image augmentation library in Python for machine learning.

pretrained-models.pytorch. Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

KBOPrediction. Parses, Analyzes and Predicts for the Korean Baseball League

packnet. Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Neural-IMage-Assessment. A PyTorch Implementation of Neural IMage Assessment

pyvarinf. Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

TensorComprehensions. A domain specific language to express machine learning workloads.

ENAS-pytorch. PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

Detectron. FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

House3D. a Realistic and Rich 3D Environment

RoIAlign.pytorch. RoIAlign & crop_and_resize for PyTorch

Tacotron-pytorch. Pytorch implementation of Tacotron

Bayesian_neural_network_papers. Papers for Bayesian-NN

imgaug. Image augmentation for machine learning experiments.

bitcoinbook. Mastering Bitcoin 3rd Edition - Programming the Open Blockchain

dm_control. Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

ganhacks. starter from "How to Train a GAN?" at NIPS2016

interaction_network_pytorch. Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

bottom-up-attention-vqa. An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

GibbsNet. Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch

pytorch-CycleGAN-and-pix2pix. Image-to-Image Translation in PyTorch

instacart-basket-prediction. Kaggle | Instacart Market Basket Analysis🥕🥉

FALCONN. FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)