baghii

baghii's Stars

• AxeldeRomblay/MLBox

  MLBox is a powerful Automated Machine Learning python library.

  Language:Python1.5k274

• voxel51/fiftyone

  Refine high-quality datasets and visual AI models

  Language:Python8.9k563

• curiousily/Getting-Things-Done-with-Pytorch

  Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

  Language:Jupyter Notebook2.4k636

• 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

  Language:C++26.3k8.7k

• datawhalechina/llm-cookbook

  面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

  Language:Jupyter Notebook11.9k1.5k

• simonw/llm

  Access large language models from the command-line

  Language:Python4.8k262

• DataTalksClub/llm-zoomcamp

  LLM Zoomcamp - a free online course about building a Q&A system

  Language:Jupyter Notebook2.9k473

• Prince-1501/Hello_world-Competiitve-Programming

  https://www.youtube.com/c/HelloWorldbyprince/

  Language:C++17564

• Prince-1501/Complete-DSA-Preparation

  This is A complete DSA preparation Course. A DSA self-paced course for ultimate Interview and Placement Preparation

  Language:SCSS2.1k499

• e2b-dev/e2b-cookbook

  Examples of using E2B

  Language:TypeScript732125

• jbwolfe/awesome-django

  A curated list of awesome Django apps and projects.

  3721.4k

• LyzhinIvan/mlcourse_open

  OpenDataScience Machine Learning course. Launches on Feb, 5 both in English and Russian

  Language:Python1

• bnsreenu/python_for_image_processing_APEER

  https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

  Language:Jupyter Notebook462278

• caserec/Datasets-for-Recommender-Systems

  This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

  Language:Jupyter Notebook987167

• grahamjenson/list_of_recommender_systems

  A List of Recommender Systems and Resources

  4.6k689

• Shubhamsaboo/awesome-llm-apps

  Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.

  Language:Python4.2k478

• Kludex/fastapi-tips

  FastAPI Tips by The FastAPI Expert!

  2.1k79

• onlyphantom/llm-python

  Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone

  Language:Jupyter Notebook689267

• tensorchord/Awesome-LLMOps

  An awesome & curated list of best LLMOps tools for developers

  Language:Shell4k383

• microsoft/batch-inference

  Dynamic batching library for Deep Learning inference. Tutorials for LLM, GPT scenarios.

  Language:Python862

• Joanna-Dai/TensorFlow

  codes for tensorflow

  Language:Python1

• PacktPublishing/Machine-Learning-Using-TensorFlow-Cookbook

  Machine Learning Using TensorFlow Cookbook, published by Packt

  Language:Jupyter Notebook6745

• snehilsanyal/self-learn-llms

  🏫🙋🏻 Self learn LLMs. This repository is a collection of resources, notebooks, blogs, tutorials for beginners.

  464

• mlabonne/llm-autoeval

  Automatically evaluate your LLMs in Google Colab

  Language:Python55891

• PacktPublishing/Hands-On-Graph-Neural-Networks-Using-Python

  Hands-On Graph Neural Networks Using Python, published by Packt

  Language:Jupyter Notebook752198

• simranjeet97/LLM-Finetuning

  LLM Finetuning with peft

  4

• simranjeet97/75DayHard_GenAI_LLM_Challenge

  This repository contain my 75Day Hard Generative AI and LLM Learning Challenge.

  Language:Jupyter Notebook252

• peremartra/Large-Language-Model-Notebooks-Course

  Practical course about Large Language Models.

  Language:Jupyter Notebook1.3k334

• Valentina-Alto/GenAI-Demos

  Language:Jupyter Notebook2718

• mvdiogo/RAG_with_Internet_Browsing

  This project is a web page search application that uses Langchain for web page analysis and Ollama for answer generation. It is built with Flask and integrates with the Langchain and Ollama APIs.

  Language:Python6