mohamedamine99

mohamedamine99's Stars

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown323k5.6k70930k

• 3b1b/manim

  Animation engine for explanatory math videos

  Language:Python73.6k9091.2k6.4k

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.9k1.2k736k

• suno-ai/bark

  🔊 Text-Prompted Generative Audio Model

  Language:Jupyter Notebook36.6k3324484.3k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  30.9k2.6k01.7k

• s0md3v/roop

  one-click face swap

  Language:Python28.9k26607.1k

• MVIG-SJTU/AlphaPose

  Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

  Language:Python8.1k2071.1k2k

• roboflow/notebooks

  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 like Grounding DINO and SAM.

  Language:Jupyter Notebook5.7k80145911

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python4.9k29171529

• ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

  Tools to Design or Visualize Architecture of Neural Network

  4.6k697582

• obss/sahi

  Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

  Language:Python4.2k450608

• argilla-io/argilla

  Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

  Language:Python4.2k322.2k389

• jinwchoi/awesome-action-recognition

  A curated list of action recognition and related area resources

  3.8k2079724

• Daniil-Osokin/lightweight-human-pose-estimation.pytorch

  Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

  Language:Python2.1k34311481

• mcinglis/c-style

  My favorite C programming practices.

  2k48799

• https-deeplearning-ai/machine-learning-engineering-for-production-public

  Public repo for DeepLearning.AI MLEP Specialization

  Language:Jupyter Notebook1.9k30552.4k

• jina-ai/thinkgpt

  Agent techniques to augment your LLM and push it beyong its limits

  Language:Python1.6k2618136

• NVIDIA-AI-IOT/deepstream_python_apps

  DeepStream SDK Python bindings and sample applications

  Language:Jupyter Notebook1.5k670485

• youssefHosni/Data-Science-Interview-Preperation-Resources

  Resoruce to help you to prepare for your comming data science interviews

  1k201225

• mert-kurttutan/torchview

  torchview: visualize pytorch models

  Language:Python857104839

• ritchieng/deep-learning-wizard

  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.

  Language:Python815224231

• SkalskiP/top-cvpr-2023-papers

  This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]

  Language:Python64314166

• 3DFaceBody/awesome-3dbody-papers

  😎Awesome list of papers about 3D body

  633351071

• MVIG-SJTU/AlphAction

  Spatio-Temporal Action Localization System

  Language:Python414189575

• kolasniwash/tensorflow-certification-study-guide

  Material and code samples used to help study for and pass the TensorFlow Developer Certification

  37212096

• IBM/action-recognition-pytorch

  This is the pytorch implementation of some representative action recognition approaches including I3D, S3D, TSN and TAM.

  Language:Python245131448

• Locutusque/TPU-Alignment

  Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free

  Language:Jupyter Notebook22471124

• Seeed-Projects/reComputer-Jetson-for-Beginners

  Beginner's Guide to reComputer Jetson

  Language:Python1013017

• vidursatija/BlazePalm

  PyTorch & CoreML implementation of MediaPipe Hands

  Language:Jupyter Notebook803914

• ultralytics/thop

  Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.

  Language:Python26104