haooooooqi

visualization

TO BE DEL

litetensor

Parallel and Distributed Sparse Tensor Decomposition

opencv

Open Source Computer Vision Library

pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

video-long-term-feature-banks

Long-Term Feature Banks for Detailed Video Understanding

BERT-for-Sequence-Labeling-and-Text-Classification

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

bert-large-uncased

bert-large-uncased

CLIP_benchmark

CLIP-like model evaluation

Detectron

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

detectron2

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

dmc2gym

OpenAI Gym wrapper for the DeepMind Control Suite

dmcontrol-generalization-benchmark

DMControl Generalization Benchmark

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

MarrRevisited

Marr Revisited: 2D-3D Alignment via Surface Normal Prediction

mclip

nn

nvvl

A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training

Orthogonal-Method-of-Grouping

pix2pix

Image-to-image translation using conditional adversarial nets

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

RAFT

SLIP

Code release for SLIP Self-supervision meets Language-Image Pre-training

SlowFast

My PySF playground

soundnet

SoundNet: Learning Sound Representations from Unlabeled Video. NIPS 2016

trt_pose

Real-time pose estimation accelerated with NVIDIA TensorRT

val_list

video-nonlocal-net

Non-local Neural Networks for Video Classification

visual_genome_python_driver

A python wrapper for the Visual Genome API

WassersteinGAN

webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.