Projects with this topic
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Practical tasks on Deep Learning (DL) and Neural Networks (NN).
🤖 Python machine lear... deep learning NumPy matplotlib pandas AI mathematics computer vision natural lang... speech proce... PyTorch scikit-learn artificial i... ML DL big data data analysis scipy keras TensorFlow seaborn plotly nltk opencv dask Deep Nerual ... programming openml google colab google colla... google drive computer sci... CSV API python3 jupyter jupyter note... Anaconda Bash shell LaTeX MarkdownUpdated -
Fundamental theory and practice in Data Science (DS).
🧮 data analysis AI ML DL machine lear... deep learning data science data-enginee... artificial i... data-science data preproc... Python C C++ NumPy pandas mathematics Algorithm algorithms Data Enginee... big data scipy scikit-learn xgboost lightgbm catboost TensorFlow keras PyTorch matplotlib seaborn plotly nltk opencv dask linear-algebra calculus probability statistics Discrete Mat... RUpdated -
CNN model for Visualizing CNN layers
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Instance-level 3D shape completion on ScanNet: an IF-Net-style implicit occupancy network trained on ShapeNet, extended with human-annotated occupancy supervision (red/black mesh annotations) and per-category IoU benchmarking.
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IF-Net fork + complete preprocessed ShapeNet archive (tar.xz bundles via git LFS). ShapeNet derivatives: non-commercial research use only.
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PyTorch reimplementation of CheXNet: multi-label classification and CAM/Grad-CAM localization of 14 thoracic diseases on ChestX-ray14, with full-resolution (1024px) ResNet50 training.
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A Contextual-Enhanced LightGCN for Movie Recommendation Systems
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A set of data machine learning/deep learning projects exploring various datasets — a place to test ideas, models, and modern stacks.
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Modular AI toolkit designed to assist animation studio workflows through computer vision.
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Echo is a computer vision app for brain tumor detection and classification on MRI scans: end-to-end computer vision pipeline, interactive web interface, and production-grade infrastructure.
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Automated LLM Benchmarking on GPU - tokens/sec, latency percentiles, VRAM profiling, multi-format support (HuggingFace, GGUF, GPTQ)
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GPU-Accelerated Hash Cracking Engine - MD5/SHA1/SHA256/SHA512/NTLM/bcrypt with CUDA PyTorch acceleration, dictionary/bruteforce/mask/combination attacks, 50+ mutation rules. For authorized pentesting only.
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Extreme KV Cache Compression for LLM Inference — C++17/CUDA implementation of TurboQuant (arXiv 2504.19874). 7.5x compression, <2% quality loss.
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Detect and classify objects in Panoramax pictures
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In real time inference simulator using the MVTec dataset, aproach via DINOv2 and Claude Sonnet 3.5 (Amazon Bedrock's API)
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A basic python system that uses facenet-pytorch for training facial recognition against your group and to do real time facial recognition from video camera.
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Deep learning system for seismic velocity inversion using a SincNet-GAT-UNet architecture, physics-informed temporal encoding, graph attention fusion, and FiLM-conditioned spatial prediction
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