Viswesh-N

Viswesh Nagaswamy Rajesh's starred repositories

deeplearning-models

A collection of various deep learning architectures, models, and tips

Language:Jupyter NotebookMIT16549 593 28

This repository will assist you in creating a more beautiful and appealing github profile, and you will have access to a comprehensive range of tools and tutorials for beautifying your github profile. 🪄 ⭐

CC0-1.010927 72 18

Research-Internships-for-Undergraduates

List of Research Internships for Undergraduate Students

3827 123 32

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

Language:PythonMIT3345 127 54

cognita

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

Language:PythonApache-2.03114 31 30

diffusion_policy

[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

Language:PythonMIT1258 15 89

OpenTraj

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

Language:PythonMIT460 17 28

Human-Path-Prediction

State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.

Language:Jupyter NotebookMIT340 11 60

Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

Language:PythonMIT264 5 21

TimeChamber

A Massively Parallel Large Scale Self-Play Framework

Language:PythonMIT197 8 11

rlbook-exercises

83 1 2

numpy_ARS

A 150-lines python code for Augmented Random Search (https://arxiv.org/abs/1803.07055) with numpy.

Language:Python69 10 3

vipriors-challenges-toolkit

Collection of tools to support submissions to the 3rd VIPriors workshop challenges

Language:PythonNOASSERTION69 5 58

lab_onboarding_recommended_reading

This repository is a collection of papers and research material that students need to be aware of when they are getting started with research in the lab

54 6 1