Himanshu Chaturvedi's repositories
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
causalimpact
Python Causal Impact port of Google's Algorithm.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
AutoGPT
An experimental open-source attempt to make GPT-4 fully autonomous.
azure
azure-related-[rpkects
bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
comp-phys
Computational Physics
Coursera-Deep-Learning
My notes / works on deep learning from Coursera
data_science_blogs
A repository to keep track of all the code that I end up writing for my blog posts.
DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
ExcelNumericalDemos
A set of numerical demonstrations in Excel to assist with teaching / learning concepts in statistics and geostatistics.
kNNTutorial
Python notebooks for kNN Tutorial paper
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
modern-ML-engineer
Introduction to Machine Learning - Ilia State University
MOM_API
Statistical/Machine learning project with ENSAE and CREST under the supervision of Guillaume Lecué
nlp
:memo: This repository recorded my NLP journey.
NLP-Projects
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
Notebooks
Jupyter notebooks authored by Richard Evans
Nowcasting-Python
Python Nowcasting
python-mle
A Python package for performing Maximum Likelihood Estimates
PythonNumericalDemos
A collection of Python demos for geostatistical methods.
pytorch-Deep-Learning
Deep Learning (with PyTorch)