minhopark-neubla's Stars
mit-han-lab/smoothquant
[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
facebookresearch/AugLy
A data augmentations library for audio, image, text, and video.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
sjquan/2022-Study
Toumash/mlflow-docker
Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
benfred/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
tunib-ai/large-scale-lm-tutorials
Large-scale language modeling tutorials with PyTorch
tunib-ai/parallelformers
Parallelformers: An Efficient Model Parallelization Toolkit for Deployment
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
Computer-Vision-in-the-Wild/CVinW_Readings
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
facebookresearch/VICRegL
VICRegL official code base
triton-inference-server/model_analyzer
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
huggingface/optimum
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
Westlake-AI/openmixup
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
MasterBin-IIAU/Unicorn
[ECCV'22 Oral] Towards Grand Unification of Object Tracking
abewley/sort
Simple, online, and realtime tracking of multiple objects in a video sequence.
RizwanMunawar/yolov7-pose-estimation
YOLOv7 Pose estimation using OpenCV, PyTorch
activeloopai/deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
aleju/imgaug
Image augmentation for machine learning experiments.
srush/GPU-Puzzles
Solve puzzles. Learn CUDA.
Megvii-BaseDetection/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
dontLoveBugs/DORN_pytorch
PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation
faif/python-patterns
A collection of design patterns/idioms in Python
WeiChengTseng/Pytorch-PCGrad
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
sejong-rcv/MLPD-Multi-Label-Pedestrian-Detection
[RA-L with IROS2021] Multi-Label Pedestrian Detection in Multispectral data
kamiLight/CADepth-master
[3DV 2021] Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation
isl-org/MiDaS
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"