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A PyTorch implementation of simple Mask R-CNN
Real-time image and video foveation transform using PyCUDA
Vision Benchmark for Maritime Search and Rescue
Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
Code for "Temporal Difference Learning for Model Predictive Control"
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Learning" (Williams et al., 2017) for the pendulum OpenAI Gym e…
PID controller simulation and subsequent control using Reinforcement Learning algorithms.
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
All the code you need to process the DOTA, FAIR1M, and xView datasets, including creating a coco formatted json file for the data, chipping the images for object detection, making a classification …
A simplified implemention of Faster R-CNN that replicate performance from origin paper
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Clean PyTorch implementations of imitation and reward learning algorithms
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…
WandB sweeps integration with Hydra sweeper
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Code repository for the paper https://link.springer.com/article/10.1007/s11042-022-13695-1 @ MTAP 2022
Infinite Photorealistic Worlds using Procedural Generation