DeepWorks By Avkash Chauhan (@avkashchauhan)

<div align="center"> <h1><img width="60" src="https://prodramp.com/static/media/prodramp-100.27426f0b.png">&nbsp;<a href="https://madewithml.com/">DeepWorks</a></h1> A collection of Deep Learning projects and resources <br> Join my @Prodramp YouTube Channel for <a href="https://www.youtube.com/channel/@prodramp"> all things about Data Science, machine learning and Artificial Intelligence</a> and technology. <br> </div> <br> <div align="center"> <a target="_blank" href="https://www.youtube.com/channel/UClLqLPWRsta-inJcDrqh6Pg"><img src="https://img.shields.io/badge/Subscribe-2770-brightgreen"></a>&nbsp; <a target="_blank" href="https://github.com/prodramp/DeepWorks"><img src="https://img.shields.io/github/stars/prodramp/deepworks.svg?style=social&label=Star"></a>&nbsp; <a target="_blank" href="https://www.linkedin.com/company/prodramp"><img src="https://img.shields.io/badge/style--5eba00.svg?label=LinkedIn&logo=linkedin&style=social"></a>&nbsp; <a target="_blank" href="https://twitter.com/prodramp"><img src="https://img.shields.io/twitter/follow/prodramp.svg?label=Follow&style=social"></a> <br> 🔥&nbsp; Among the <a href="https://github.com/topics/deeplearning" target="_blank">Upcoming Deep Learning</a> repository on GitHub and YouTube Channel &nbsp;🔥 </div> <div align="center"> <img src="https://github.com/prodramp/DeepWorks/blob/main/images/prodramp-page.png?raw=true" width="1200" /> </div> <br> @Prodramp YouTube channel - Please visit YouTube channel to watch all the videos specific the GitHub content you find in this GitHub repo <br> <hr>

Developer Program

• Developer Program
  • Data Processing course in Python for budding Python Developers - 4 Parts
  • Developing Gradio Based Tabbed UI - 2 Parts
  • Creating Python Module, Packaging it as Wheel Package, Delivery and Istallation - 3 Parts
  • Rust By ChatGPT
  • Statistics of Machine Learning

Deep learning Workshop(s)

• [1] Processing Satellite Imagery to Identify various landmarks (4 Hours in 3 Videos)

  • Part 1. Satellite Imagery Data Processing
  • Part 2. Appling Deep Learning methods on Satellite Imagery Data
  • Part 3. Model Deployment and Various other tasks

LLM and OpenSource Models

• LLM Research and Opensource LLM Models

Exciting NeRF Projects and OpenSource Models

• NeRF Research and Opensource NeRF Models

Generative AI - Art, Content, Media

• Whiteboarding - Understanding ChatGPT
• Whiteboarding - Understanding LLM Tech Stack
• Developing ChatGPT style Enterprise Content Q/A Application
• ChatGPT
• FineTune LLM
• Learning Large Language Models
• Deep Learning Study Plan MindMap

Deep Learning and Artificial Intelligence

• OpenAI Whisper - Audio/Video to Text(Transcribe/Translate)
• Stable Diffusion Video - Multiple Prompts to Video
• Stable Diffusion GUI - Gradio UI for Text-to-Image TensorFlow Models
• Stable Diffusion - Text-to-Image OpenSource AI Model
• Bloom 176B Parameters - Large Language Model
• TorchStudio - Import Dataset, Train and Save Models
• EG3D - Efficient Geometry-aware 3D Generative Adversarial Networks
• Hugging Face - Model Training and Tuning, Inference, all at one place

Deep Learning Content

• JoJoGAN - Face Stylization (3 Videos Series on training, inference, model export and deployment)
• 12 Research Papers to learn Text-2-Image Research
• Diffusion Models - Theory, Implemenations and Models
• All Things VQ-GAN - A 3 part video series
• Text to Image using AI Models Workshop - Step by Step Guide
• Text to Image AI Models - Different methods & different results, same target
• NeRF Scene - Instant-ngp
• LIMoE (Multimodal Mixture of Experts - Google)
• MoE (Mixture of Experts - Google)
• PyTorch Tutorials
• DALL-E Mini
• GraphViz
• Graph Neural Networks
• Topic Modeling
• Convolution Example in Python
• Self-driving Technology
• Number Series and Prediction with ML
• GPT Models (OpenAI and OpenSource)
• No More Blackbox Models: MLI or XAI
• Vision GNN: An Image is Worth Graph of Nodes
• ruDALL-E: Text 2 Image 1.3B parameters open source model
• BCI - Brain Computer Interface

Developer Tools

• Deep Learning Rig - Installation Nvidia drivers, Cuda toolkits for Conda, TensorFlow and PyTorch
• JAX/JAXlib Installation with Cuda/cudNN
• dlib installation with Cuda, cudNN on Ubuntu 22.04 with Conda and Python
• Apple M1 with Metal GPU for Deep Learning

Contact

• If you would like to see here or need some help on similar topics, please feel free connect me at any below channels.

Prodramp Contact

• 🧩 YouTube Channel: https://www.youtube.com/channel/UClLqLPWRsta-inJcDrqh6Pg
• 👀 Twitter: https://twitter.com/prodramp

Personal Contact

• 😄 Avkash Chauhan (@avkashchauhan)
• 🌱 https://www.linkedin.com/in/avkashchauhan
• 📫 https://twitter.com/avkashchauhan
• 🕹 https://github.com/Avkash
• 📜 https://blogs.prodramp.com/

Learning In Progress

• https://github.com/eriklindernoren/ML-From-Scratch
• https://github.com/kwea123/nerf_pl#blender
• https://github.com/bmild/nerf
• https://github.com/musikalkemist/pytorchforaudio
• https://medium.com/@oleguer.canal/the-attention-mechanism-zoo-309c05768ed9
• https://towardsdatascience.com/audio-deep-learning-made-simple-part-1-state-of-the-art-techniques-da1d3dff2504
• https://github.com/RizwanMunawar/yolov7-pose-estimation
• https://github.com/ultralytics/yolov5
• https://www.augmentedstartups.com/yolox-pro-computer-vision-dashboard