Adarsh Srivastava's starred repositories
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
PythonRobotics
Python sample codes for robotics algorithms.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Awesome-LLM-Robotics
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
diffusion_policy
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
awesome-standard-notes
A curated list of tools and information relating to Standard Notes.
diffusion-literature-for-robotics
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
Diff4RLSurvey
This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
video-generation-survey
A reading list of video generation
awesome-optimal-transport
A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning topics.
diffusion_schrodinger_bridge
PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
robustness_applications
Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
instapaper-to-omnivore-import
đź“– Import Instapaper content to Omnivore