Manish Choudhary's repositories
Advanced-Natural-Language-Processing-with-TensorFlow-2
Advanced Natural Language Processing with TensorFlow 2, published by Packt
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
flask-restful-swagger
A Swagger spec extractor for flask-restful
hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
machine_learning_refined
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
ML_algos_from_scratch
A collection of various machine learning algorithms written from scratch for classification,regression and clustering and dimensionality reductions
Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
rdkit_tutorials
rdKit basics (provided jupyter notebooks are custom curated and will help the users to start working on rdKit)
tdml-example
Companion exercise to my WIP book "Clean Machine Learning Code"
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
xeus-cling
Jupyter kernel for the C++ programming language
cgm-ml
Child Growth Monitor Machine Learning
ChildGrowthMonitor
Quick, accurate data on malnutrition
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
fritz-models
Train and deploy machine learning models for mobile apps with Fritz AI.
ML_AI_Work
This repositiory is for public use. I have added few Machine Learning and Deep Learning project works.
Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
sympy
A computer algebra system written in pure Python
VIBE
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"