Pinned Repositories
algorithms
Minimal examples of data structures and algorithms in Python
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
apollo
An open autonomous driving platform
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
bitcoinbook
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
datacamp-python-data-science-track
All the slides, accompanying code and exercises all stored in this repo.
datacampschoolbudget
datacampstatisticalthinking1
GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
settingupmacforml
bimalmaharjan's Repositories
bimalmaharjan/GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
bimalmaharjan/settingupmacforml
bimalmaharjan/algorithms
Minimal examples of data structures and algorithms in Python
bimalmaharjan/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
bimalmaharjan/apollo
An open autonomous driving platform
bimalmaharjan/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
bimalmaharjan/bitcoinbook
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
bimalmaharjan/datacamp-python-data-science-track
All the slides, accompanying code and exercises all stored in this repo.
bimalmaharjan/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
bimalmaharjan/deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
bimalmaharjan/evals
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
bimalmaharjan/facenet
Face recognition using Tensorflow
bimalmaharjan/fastai
The fast.ai deep learning library, lessons, and tutorials
bimalmaharjan/fastbook
The fastai book, published as Jupyter Notebooks
bimalmaharjan/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
bimalmaharjan/home-assistant
:house_with_garden: Open-source home automation platform running on Python 3
bimalmaharjan/interactive-coding-challenges
Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
bimalmaharjan/keras
Deep Learning for humans
bimalmaharjan/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
bimalmaharjan/machine-learning-for-telecommunications
A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.
bimalmaharjan/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
bimalmaharjan/playground
Play with neural networks!
bimalmaharjan/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
bimalmaharjan/scipy-2018-sklearn
Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
bimalmaharjan/spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
bimalmaharjan/tensorflow
Computation using data flow graphs for scalable machine learning
bimalmaharjan/titanicsurvival
bimalmaharjan/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
bimalmaharjan/uppingtensorflow
This for the first program while installing tensorflow and following hands on machine learning with tensorflow book.
bimalmaharjan/wtfpython
A collection of surprising Python snippets and lesser-known features.