Utilities intended for use with Llama models.

Easily train a good VC model with voice data <= 10 mins!

GUI for a Vocal Remover that uses Deep Neural Networks.

Machine Learning with BigQuery ML, published by Packt

Machine learning is the study and development of data-driven strategies to enhance task performance. AI includes it.

Notes and links from the book club meetings

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Legacy code of the core that powers WebCatalog, Singlebox, Clovery and Skywhale.

Legacy code of the WebCatalog app.

Learning Deep Learning

Yolov8 object tracking 100% native | Object detection | Computer vision tutorial

PyTorch implementation of YOLOv5, YOLOv6, YOLOv7, YOLOv8, Sort, StrongSort, OcSort, ByteTrack, Norfair

[TMM 2023] StrongSORT: Make DeepSORT Great Again

A starter project for Carla simulator

This research project titled "Hybrid Deep Learning approach for Lane Detection" was conducted as our final MSc degree thesis for Jonkoping University.

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

Autonomous driving neural network comparison tool

This repo host a comprehensive solution for multi-object tracking in combination with YOLO and DeepSORT in carla simulator .

Train a pytorch model to self park a car using reinforcement learning in Carla

[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

AUTO: A Hierarchical Decision-making Framework with Multi-modality Perception for Autonomous Driving

CURLA: CURL x CARLA -- Robust end-to-end Autonomous Driving by combining Contrastive Learning and Reinforcement Learning

Replication of "KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients"

This type of image classification is called semantic image segmentation. It's similar to object detection in that both ask the question: "What objects are in this image and where in the image are t…