Pinned Repositories
My-Twitter-App
NLPprogress
Demo of github pages for Sebastian Ruder's NLP Progress Repo -See Issue https://github.com/sebastianruder/NLP-progress/issues/43
soletta-machine-learning
Soletta Machine Learning is an open source machine learning library focused on development of IoT projects. It provides API to handle with client side AI and an easy to use flow-based Soletta module. Supports neural networks and fuzzy logic learning and can be easily extended to support others.
solettaproject.github.io
Autogenerated docs. Only autogenerated stuff. push -f is allowed. Fork at your own risk =)
Tricks-for-Deep-Learning
This Repo contains articles and posts about successfully training and debugging deep neural nets.
xapian
Mirror of the Xapian repository. You're welcome to open pull requests on github (they'll just get merged indirectly).
xapian-docsprint
The user manual for Xapian.
nirmalsinghania2008's Repositories
nirmalsinghania2008/Tricks-for-Deep-Learning
This Repo contains articles and posts about successfully training and debugging deep neural nets.
nirmalsinghania2008/NLPprogress
Demo of github pages for Sebastian Ruder's NLP Progress Repo -See Issue https://github.com/sebastianruder/NLP-progress/issues/43
nirmalsinghania2008/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
nirmalsinghania2008/api-samples
Code samples for YouTube APIs, including the YouTube Data API, YouTube Analytics API, and YouTube Live Streaming API. The repo contains language-specific directories that contain the samples.
nirmalsinghania2008/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
nirmalsinghania2008/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
nirmalsinghania2008/Bayesian-methods-for-machine-learning
This repository contains Ipython notebooks from the course 'Bayesian Methods for machine learning', part 3 of Advance machine learning Specialisation offered by higher school of economics at coursera.
nirmalsinghania2008/Best_Practices_DeepNLP
A Repo to store articles related to Best Practices in Deep NLP
nirmalsinghania2008/CircleCI--Testing
nirmalsinghania2008/comet-examples
Examples of Machine Learning code using Comet.ml
nirmalsinghania2008/ConversationMessengerIntegration
nirmalsinghania2008/cswithjames
nirmalsinghania2008/D3Visual
nirmalsinghania2008/Deep-Learning-NLP
:satellite: Organized Resources for Deep Learning in Natural Language Processing
nirmalsinghania2008/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
nirmalsinghania2008/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
nirmalsinghania2008/demo
nirmalsinghania2008/DL_Research_keras
Implementation of Latest DL Innovations mostly in Keras
nirmalsinghania2008/DoYouEvenLearn
Essential Guide to keep up with AI/ML/CV/UNameIt
nirmalsinghania2008/grok-1
Grok open release
nirmalsinghania2008/Heimdall
nirmalsinghania2008/machinelearningblr.github.io
Home of Machine Learning Bangalore Chapter
nirmalsinghania2008/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
nirmalsinghania2008/models
Models and examples built with TensorFlow
nirmalsinghania2008/nirmalsinghania2008.github.io
nirmalsinghania2008/node-sdk
:steam_locomotive: Node.js library to access IBM Watson services.
nirmalsinghania2008/Project_Phase2
nirmalsinghania2008/Projecto
nirmalsinghania2008/pydata-prague-optimization-2019
nirmalsinghania2008/tf-keras-tutorial
tf.keras + tf.data with Eager Execution