Divyansh Garg (Div99)

Div99

Geek Repo

Location:California

Home Page:www.divyanshgarg.com

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Divyansh Garg's repositories

IQ-Learn

(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation

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W-Stereo-Disp

(NeurIPS 2020 Spotlight) Wasserstein Distances for Stereo Disparity Estimation

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InternetOfAgents

Build your Swarm of Internet Agents using MultiOn 🚀

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Image-Captioning

Image Captioning with Keras

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XQL

Extreme Q-Learning: Max Entropy RL without Entropy

LISA

(NeurIPS '22) LISA: Learning Interpretable Skill Abstractions - A framework for unsupervised skill learning using Imitation

CrashDetection

Automatic detection and alert of vehicle accidents

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SocialAGI

Create digital souls

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MultionToolkit-langchain

⚡ Building applications with LLMs through composability ⚡

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modal-examples

Examples of programs built using Modal

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nuclide-remote

Nuclide-remote container based on https://github.com/facebook/nuclide

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pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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spark

Apache Spark - A unified analytics engine for large-scale data processing

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TSAI-DeepVision-EVA4.0

This contains the solutions to the assignments given in The School of AI - Extensive Vision AI 4.0 EVA4

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AdaptiveMaskedProxies

Adaptive Masked Proxies for Few Shot Semantic Segmentation

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avod

Code for 3D object detection for autonomous driving

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dotfiles

My personal dotfiles

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fastai

The fastai deep learning library, plus lessons and and tutorials

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gmm-torch

Gaussian mixture models in PyTorch.

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MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

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OCamTeX_sublime

Sublime 3 plugin for OcamTex language

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PointRCNN

The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.

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pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

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Pseudo_Lidar_V2

(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

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pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

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sail-blog

The SAIL blog

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