kamalsaleh
Mathematician. Computer Algebra and Algorithmic Category Theory and Homological Algebra.
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kamalsaleh's Stars
practical-tutorials/project-based-learning
Curated list of project-based tutorials
TheAlgorithms/Python
All Algorithms implemented in Python
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
langflow-ai/langflow
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
shap/shap
A game theoretic approach to explain the output of any machine learning model.
Mozilla-Ocho/llamafile
Distribute and run LLMs with a single file.
ipython/ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
stanford-oval/storm
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
oxnr/awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
Lightning-AI/litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
guipsamora/pandas_exercises
Practice your pandas skills!
kyrolabs/awesome-langchain
😎 Awesome list of tools and projects with the awesome LangChain framework
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
jonathan-bower/DataScienceResources
Open Source Data Science Resources.
scikit-learn-contrib/sklearn-pandas
Pandas integration with sklearn
DrSkippy/Data-Science-45min-Intros
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
harvard-edge/cs249r_book
Introduction to Machine Learning Systems
alexattia/Data-Science-Projects
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
anujvyas/Machine-Learning-Projects
This repository consists of all my Machine Learning Projects.
rasbt/stat451-machine-learning-fs20
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
ertiqah/The-Efficient-Entrepreneur
Complete AI-playbook for entrepreneurs. Follow this blueprint to create an AI-first business.
sparklingpandas/sparklingpandas
Sparkling Pandas
DataTau/datascience-anthology-pydata
PyData, The Complete Works of
amplab/docker-scripts
Dockerfiles and scripts for Spark and Shark Docker images
tburmeister/pyneural
mrdbourke/learn-huggingface
Repo designed to help learn the Hugging Face ecosystem (transformers, datasets, accelerate + more).