Pradip Nichite's starred repositories
first-contributions
🚀✨ Help beginners to contribute to open source projects
python-guide
Python best practices guidebook, written for humans.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
ipex-llm
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, GraphRAG, DeepSpeed, vLLM, FastChat, Axolotl, etc.
dlaicourse
Notebooks for learning deep learning
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
python-deepdive
Python Deep Dive Course - Accompanying Materials
rest-apis-flask-python
Projects and e-book for our course, REST APIs with Flask and Python
d3-flame-graph
A D3.js plugin that produces flame graphs from hierarchical data.
openscoring
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
product-nets
Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
spark-gotchas
Spark Gotchas. A subjective compilation of the Apache Spark tips and tricks
how_to_deploy_a_keras_model_to_production
This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube
talkingdata-adtracking-fraud-detection
My solution for TalkingData AdTracking Fraud Detection Challenge (https://www.kaggle.com/c/talkingdata-adtracking-fraud-detection/)
make-ipinyou-data
This project is to formalise the iPinYou RTB data into a standard format for further researches.
Applied-Social-Network-Analysis-in-Python
Course - 5; Specialization: Applied Data Science with Python; University Of Michigan
machine-learning-orchestration
Machine Learning Orchestration
docker-and-kubernetes
Docker and Kubernetes: Complete guide, eBooks, tutorials and exercises