[CVPR 2024] Real-Time Open-Vocabulary Object Detection

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

Isaac Gym Reinforcement Learning Environments

PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation (CoRL 2021)

A playbook for systematically maximizing the performance of deep learning models.

Example of a Cover letter for AI Residency

Research boilerplate for PyTorch.

Collection of reinforcement learning algorithms

A pattern-based approach for learning technical interview questions

Code for hierarchical imitation learning and reinforcement learning

Google Research

Structural implementation of RL key algorithms

Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments (CoRL 2020)

a repository containing the details of natural language inference dataset in Hindi

Code for "It’s LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment" [CoDS-CoMAD'21]

Learning to paint using Model-based Deep Reinforcement Learning

PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).

All Algorithms implemented in Python

The FRC2468 Team Appreciate Scouting App

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The SAIL blog

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

A toolbox of Hawkes processes

PyTorch Implementation for the paper "C3VQG: Category Consistent Cyclic Visual Question Generation" (ACM MM Asia'20).

Unsupervised Disentanglement Representation Learning in Chainer

Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.

Tools to Design or Visualize Architecture of Neural Network