DeepWorks By Avkash Chauhan (@avkashchauhan)

 DeepWorks

A collection of Deep Learning projects and resources
Join my YouTube Channel for all things about DS/ML/AI and technology.

     
🔥  Among the Upcoming Deep Learning repository on GitHub  🔥

---

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

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

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