abchotujnn1 Goto Github PK
Name: Indrajeet kumar
Type: User
Company: Bosch
Bio: Data scientist with experience in computer vision, statistical analysis, machine learning
Location: bangaluru
Name: Indrajeet kumar
Type: User
Company: Bosch
Bio: Data scientist with experience in computer vision, statistical analysis, machine learning
Location: bangaluru
indrajeet personal website
PyTorch android examples of usage in applications
Applied ai course is a online platform to learn about data science. In this repository include assignments ,projects, coding etc. done in the course
This repo has all the code files which were created as part of the assignments to complete the Applied AI Course. The credit for code source structure and data goes to the Applied AI team.
Video of Project on Youtube:- https://www.youtube.com/watch?v=Teqv4n70Pk0&feature=youtu.be
Video of Project on Youtube:- https://www.youtube.com/watch?v=Teqv4n70Pk0&feature=youtu.be
automatic data curation with SSL approach.
Notes on the resources I read on autonomous driving
A curated list of resources about generative flow networks (GFlowNets).
projects on drug discovery pipeline
Process BindingDB
A PyTorch and TorchDrug based deep learning library for drug pair scoring.
Chemical Property Prediction with Graph Convolutional Networks
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Search images with a text or image query, using Open AI's pretrained CLIP model.
Generic implementation for clustering with deep learning : representation learning (DNN) + clustering
"One general law, leading to the advancement of all organic beings, namely, multiply, vary, let the strongest live and the weakest die." ― Charles Darwin
Computer vision related codes
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details.
Various C++ examples and code. Much of it right now is from a course called "Learn How to Program With C++" by Kate Gregory on Pluralsight. There will probably be my own code from time to time and code from other Pluralsight courses.
C++ Programming & Introduction to Computer Science. You can find my Lab Assignments codes, interesting C++ programs, and lots of different resources to start learning coding with C++.
DANCE: A Deep Learning Library and Benchmark Platform for Single-Cell Analysis
Course Data Analysis for Life Sciences based on the material by Rafael Irizarry & Mike Love
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.