brjathu

PHALP

Code repository for the paper "Tracking People by Predicting 3D Appearance, Location & Pose". (CVPR 2022 Oral)

LART

Code repository for the paper "On the Benefits of 3D Pose and Tracking for Human Action Recognition", (CVPR 2023)

SKD

SKD : Self-supervised Knowledge Distillation for Few-shot Learning

iTAML

Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020

SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

4D-Humans

NMR

RPSnet

Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019

pytube

A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

j_lib

T3DP

Code repository for the paper "Tracking People with 3D Representations". NeurIPS 2021

MAAC

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

continuum

A clean and simple library for Continual Learning

mmaction

An open-source toolbox for action understanding based on PyTorch

nas-without-training

Neural Architecture Search Without Training

manim

Animation engine for explanatory math videos

SAN

Exploring Self-attention for Image Recognition, CVPR2020.

deepcaps

Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).

Practical-DRL

This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/

warpgrad

Meta-Learning with Warped Gradient Descent

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

handpose-demos

🎥🤟 4 minimalistic templates for tfjs mediapipe handpose

pytorch-be-your-own-teacher

A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', https://arxiv.org/abs/1905.08094

rfs

AnimationsWithManim

Animation course with Manim

hidden-networks

demo-self-driving

Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

vehicle-speed-check

Vehicle Speed Check