Name: Pranjal Dhole
Type: User
Company: Capgemini Engineering
Bio: Reinforcement Learning, Artificial Life, Multi-agent Modelling.
Location: Munich, Germany
Blog: https://pranjaldhole.github.io
Pranjal Dhole's Projects
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
An open-source application for biological image analysis
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
Code for the thesis
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Example code from the book "Deep Learning for the Life Sciences"
Code base that uses merged nodes under direct base controller node for operating the youbot. This project was undertaken as part of a requisite for the lab Software Development Project.
[DEPRECATED] Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template
Code for my web designing projects on freeCodeCamp
A deep generative model of semi-unsupervised learning
An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
For IBM Quantum Fall Challenge 2022
Implementations of selected inverse reinforcement learning algorithms.
LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks, and then be trained for the task at hand, while using a very small number of parameters.
Learning Off-Policy with Online Planning, CoRL 2021
Animation engine for explanatory math videos
Different drug discovery datasets exploration
napari: a fast, interactive, multi-dimensional image viewer for python
Napari plugin to store Napari projects in a .h5 file. Label layer are stored in a sparse representation (COO list).
A lightweight plugin for visualizing labelling statistics.
Repo for the CZI Imaging Team's napari plugin Alfa Cohort collaboration
Image segmentation prediction tool that uses trained YAPiC model and performs image segmentation directly in Napari.
Implementation NSGA-II algorithm in form of python library
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent