Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch

DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM

Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

Official repository for Few-Shot Class-Incremental Learning (FSCIL)

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progres…

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…

Implementing the KPConv method (https://arxiv.org/pdf/1904.08889.pdf) using torch_geometric

Guide to using pre-trained large language models of source code

A more easy-to-use implementation of KPConv

Pytorch framework for doing deep learning on point clouds.

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

Pytorch framework for doing deep learning on point clouds.

TensorFlow - A curated list of dedicated resources http://tensorflow.org

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Modified version of non-rigid Iterative closest point algorithm for fitting to noisy point clouds

Detecting Shape of the face using OpenCV, DLib, Python

Extreme 3D Face Reconstruction: Looking Past Occlusions

Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Ima…

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

A high-fidelity 3D face reconstruction library from monocular RGB image(s)

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

AI Face comparison using FaceNet

Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.