123nishant
NLP | Recommendation Systems | PPML ( Privacy Preserving Machine Learning) https://github.com/123nishant/nishant_kumar#hey-im-nishant-
John Deere | Openmined | Capgemini
123nishant's Stars
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
recommenders-team/recommenders
Best Practices on Recommendation Systems
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
alexeygrigorev/data-science-interviews
Data science interview questions and answers
rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
facebookresearch/dlrm
An implementation of a deep learning recommendation model (DLRM)
facebookresearch/ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
dangkhoasdc/awesome-ai-residency
List of AI Residency Programs
facebookresearch/poincare-embeddings
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
neonwatty/machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
TomAugspurger/effective-pandas
Source code for my collection of articles on using pandas.
abhishekkrthakur/tez
Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.
huawei-noah/noah-research
Noah Research
georgearun/Data-Science--Cheat-Sheet
Cheat Sheets
scikit-learn-contrib/DESlib
A Python library for dynamic classifier and ensemble selection
amitness/papers-with-video
A browser extension that links video explanations to research papers on arxiv.org
graviraja/100-Days-of-NLP
pytorch/workshops
This is a repository for all workshop related materials.
dalab/hyperbolic_cones
Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882
IBM/low-resource-text-classification-framework
Research framework for low resource text classification that allows the user to experiment with classification models and active learning strategies on a large number of sentence classification datasets, and to simulate real-world scenarios. The framework is easily expandable to new classification models, active learning strategies and datasets.
facebookresearch/tbsm
Time-based Sequence Model for Personalization and Recommendation Systems
amazon-science/hyperbolic-embeddings
Code for hyperboloid embeddings for knowledge graph entities
evfro/HyperbolicRecommenders
Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.
techytushar/data_science_interview
Interview questions asked in Data Science/ Machine Learning interviews
PacktPublishing/Machine-Learning-with-C-
Machine Learning with C++ by Packt Publishing
andbloch/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
mahmoudimus/synthetic-data-generation-framework
From the paper, "Plausible Deniability for Privacy-Preserving Data Synthesis" by Vincent Bindschaedler (https://vbinds.ch/node/1)
mahmoudimus/MarvellousSuspender
A chrome extension for suspending all tabs to free up memory, based on the original TGS 7.1.6, without tracking.
vbindsch/dpsynth