Ashish Patel
- ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post
- ashishpatel26/500-AI-Agents-Projects
- ashishpatel26/LLM-Finetuning
- ashishpatel26/Andrew-NG-Notes
- ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
- ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
- ashishpatel26/Treasure-of-Transformers
- headroomlabs-ai/headroom
- ashishpatel26/Amazing-Feature-Engineering
- 2FastLabs/agent-squad
The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Tools to Design or Visualize Architecture of Neural Network
This is Andrew NG Coursera Handwritten Notes.
LLM Finetuning with peft
Production-shaped MLOps Python package and reference implementation of the MLOps Coding Course: MLflow, scikit-learn, Pydantic, Pandera, uv, and mise.
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.
365 Days Computer Vision Learning Linkedin Post
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.