Joe-Khawand

Joe-Khawand's Stars

• wojciech-graj/doom-ascii

  DooM in the terminal!

  Language:C56424

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda24.7k2.8k

• WintrCat/freechess

  WintrCat's Game Report ♟️

  Language:TypeScript628158

• hmaverickadams/Beginner-Network-Pentesting

  Notes for Beginner Network Pentesting Course

  5.8k1.6k

• zed-industries/zed

  Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

  Language:Rust51.5k3.2k

• astral-sh/uv

  An extremely fast Python package and project manager, written in Rust.

  Language:Rust32.5k881

• shankarpandala/lazypredict

  Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

  Language:Python3k349

• logancyang/loss-landscape-anim

  Create animations for the optimization trajectory of neural nets

  Language:Python13923

• ollama/ollama

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

  Language:Go103k8.2k

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python11.1k1.1k

• python-poetry/poetry

  Python packaging and dependency management made easy

  Language:Python32k2.3k

• ManimCommunity/manim

  A community-maintained Python framework for creating mathematical animations.

  Language:Python27.2k1.9k

• lilipads/gradient_descent_viz

  interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

  Language:C++1.2k124

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.8k1.6k

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.9k404

• NVIDIA/MinkowskiEngine

  Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

  Language:Python2.5k369

• POSTECH-CVLab/FastPointTransformer

  Official source code of Fast Point Transformer, CVPR 2022

  Language:Python28041

• lahoud/3d-vision-transformers

  A list of 3D computer vision papers with Transformers

  40932

• ZFTurbo/segmentation_models_3D

  Set of models for segmentation of 3D volumes

  Language:Python12627

• qubvel-org/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.8k1.7k

• voxel51/fiftyone

  Refine high-quality datasets and visual AI models

  Language:Python9k575

• facebookresearch/OTTER

  This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described in the paper.

  Language:Python655

• AlbinSou/ocl_survey

  Code for "A Comprehensive Empirical Evaluation on Online Continual Learning" ICCVW 2023 VCL Workshop

  Language:Python379

• sknetwork-team/scikit-network

  Graph Algorithms

  Language:Python61165

• Billy1900/Awesome-AI-for-cybersecurity

  Awesome list of AI for cybersecurity including network (network traffic analysis and intrusion detection), endpoint (anti-malware), application (WAF or database firewalls), user (UBA), process behavior (anti-fraud).

  11119

• SonyCSLParis/Deep_SRDA

  Pytorch Implementation of Deep Streaming Regularized Discriminant Analysis for Online Continual Learning.

  Language:Python1

• RaptorMai/online-continual-learning

  A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).

  Language:Python38657

• acids-ircam/RAVE

  Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

  Language:Python1.4k187

• online-ml/awesome-online-machine-learning

  :bookmark_tabs: Online machine learning resources

  51255

• online-ml/river

  🌊 Online machine learning in Python

  Language:Python5.1k553