Taneem Jan's repositories
html-code-generation-from-images-with-deep-neural-networks
Using the AI model to generate HTML Code by giving a UI mockup image.
taneemishere
This is welcome message to my GitHub profile to every techie enthusiast
aitviewer
A set of tools to visualize and interact with sequences of 3D data.
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
awesome-3D-gaussian-splatting
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
awesome-transformers
A curated list of awesome transformer models.
bolei_awesome_posters
CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!
CodeGen2
CodeGen2 models for program synthesis
DeepLearningExamples
Deep Learning Examples
From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
gpt4all
gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue
ManimML
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
material-bread
Cross Platform React Native Material Design Components
Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
PlotNeuralNet
Latex code for making neural networks diagrams
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
taneemishere.github.io
My portfolio site
Transformer-in-Vision
Recent Transformer-based CV and related works.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.