minhopark-neubla

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, ... 🧠

python-patterns

A collection of design patterns/idioms in Python

ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

PlotNeuralNet

Latex code for making neural networks diagrams

imgaug

Image augmentation for machine learning experiments.

GPU-Puzzles

Solve puzzles. Learn CUDA.

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

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/

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

AugLy

A data augmentations library for audio, image, text, and video.

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"

sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

optimum

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

smoothquant

[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

CVinW_Readings

A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

Unicorn

[ECCV'22 Oral] Towards Grand Unification of Object Tracking

parallelformers

Parallelformers: An Efficient Model Parallelization Toolkit for Deployment

openmixup

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

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.

yolov7-pose-estimation

YOLOv7 Pose estimation using OpenCV, PyTorch

Pytorch-PCGrad

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

DORN_pytorch

PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation

large-scale-lm-tutorials

Large-scale language modeling tutorials with PyTorch

mlflow-docker

Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3

VICRegL

VICRegL official code base

MLPD-Multi-Label-Pedestrian-Detection

[RA-L with IROS2021] Multi-Label Pedestrian Detection in Multispectral data

2022-Study

CADepth-master

[3DV 2021] Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation