Pinned Repositories
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's Repositories
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