Abdelhamid bouzid's repositories
dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
X-Decoder
[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Interpolation-Consistency-Training-Semi-supervised-semantic-segmnetation-
Interpolation Consistency Training implementation for semi supervised semantic segmentation
Deep-metric-learning
Deep metric learning: Triplet, Magnet and VMF loss
demo-repo
Demo for git
problem-Sovling-
problem Sovling
papers-to-codes
This folder contains implementations of recent papers in machine learning
Multi-Agent-Deep-Deterministic-Policy-Gradient
Multi Agent Deep Deterministic Policy Gradient
Real-time-tracking-of-Bounding-boxes
Real time tracking of Bounding boxes
Sentiment-Analysis-of-Movie-revviews
Sentiment Analysis of Movie revviews
YOLOV3-detection
Detection using YOLOV3 (version 3)
Monte-carlo-deep-reinforcement-learning-
Monte carlo deep Q learning
SARSA-Deep-Reinforcement-Learning
This folder contains the implementation of SARSA deep reinforcement learning using PYTORCH framework.
Mean-teacher-Semi-supervised-semantic-segmnetation-
This folder contains code for semi supervised semantic segmentation
Pytorch-models
Pytorch famous models: Resenet, WRN ......
TD-n-basic-deep-Q-learning
TD(n) basic deep Q learning
TD-lamda-deep-Q-learning
TD lambda deep Q learning
Connect-4-with-Monte-Carlo-Tree-Search
Connect 4 with Monte Carlo Tree Search
Monte-carlo-tree-search-with-minimax
Monte carlo tree search with minimax
Monte-Carlo-Tree-search
General implementation of Monte Carlo Tree search
DeepLearning-Visualization
visualization of deep models using pytocrh
Kaggel-competetion
Folder contains kaggel competitions
RNN-tutorials
Jupyter notebook about RNN tutorials using pytorch package