Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Curated list of project-based tutorials

ImageBind One Embedding Space to Bind Them All

Solve puzzles. Learn CUDA.

Jargon from the functional programming world in simple terms!

A cookbook with the best practices to working with kubernetes.

my Vim/Tmux config 💪⚡

Keras implementation of MaskRCNN object detection.

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow for Mobile Deployment

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Pytorch framework for doing deep learning on point clouds.

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

Utilities to perform Uncertainty Quantification on Keras Models

I categorize, annotate and write comments for all research papers I read (440+ papers since 2018).

A list of papers and datasets about point cloud analysis (processing)

A resource repository for 3D machine learning

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

A collection of various deep learning architectures, models, and tips