mitmul

deeppose

DeepPose implementation in Chainer

ssai-cnn

Semantic Segmentation for Aerial / Satellite Images with Convolutional Neural Networks including an unofficial implementation of Volodymyr Mnih's methods

pynvvl

A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

burn-captions

Burn captions (.srt) into videos

mlx-plamo

An example of generating text with PLaMo-13b using MLX

blog

openmpi-cuda-bins

Pre-built binaries of OpenMPI w/ CUDA & verbs options

chainercv

ChainerCV: a Library for Computer Vision in Deep Learning

consistency_models

Official repo for consistency models.

cupy

NumPy-like API accelerated with CUDA

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

jupyterlab

JupyterLab computational environment.

kornia

Open Source Differentiable Computer Vision Library for PyTorch

LLaVA-NeXT

mallet

TCP tunnel that works like VPN

mlx-examples

Examples in the MLX framework

mmdetection

OpenMMLab Detection Toolbox and Benchmark

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

pfio

IO library to access various filesystems with unified API

ragas

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

s3fs

S3 Filesystem

stable-diffusion

techbookfest7

tensorflow-metal-sample

tfrecord-viewer

TFRecord Viewer for browsing contents of TFRecords with object detection/classification annotations.

UniverseNet

Object detection. EfficientDet-D5 level COCO AP in 20 epochs. SOTA single-stage detector on Waymo Open Dataset.

vision

Datasets, Transforms and Models specific to Computer Vision

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/