brjathu

4D-Humans

deepcaps

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

iTAML

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

LART

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

NMR

PHALP

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

RPSnet

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

SKD

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

SlowFast

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

T3DP

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

brjathu/PHALP

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

brjathu/LART

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

brjathu/deepcaps

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

brjathu/iTAML

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

brjathu/SKD

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

brjathu/T3DP

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

brjathu/RPSnet

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

brjathu/SlowFast

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

brjathu/NMR

brjathu/4D-Humans

brjathu/hummingbird

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

brjathu/MAAC

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

brjathu/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/

brjathu/vit-pytorch

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

brjathu/warpgrad

Meta-Learning with Warped Gradient Descent

brjathu/AnimationsWithManim

Animation course with Manim

brjathu/continuum

A clean and simple library for Continual Learning

brjathu/demo-self-driving

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

brjathu/handpose-demos

🎥🤟 4 minimalistic templates for tfjs mediapipe handpose

brjathu/hidden-networks

brjathu/j_lib

brjathu/maml

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

brjathu/manim

Animation engine for explanatory math videos

brjathu/mmaction

An open-source toolbox for action understanding based on PyTorch

brjathu/nas-without-training

Neural Architecture Search Without Training

brjathu/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

brjathu/pytube

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

brjathu/rfs

brjathu/SAN

Exploring Self-attention for Image Recognition, CVPR2020.

brjathu/vehicle-speed-check

Vehicle Speed Check