nevinbaiju

nevinbaiju's Stars

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown314k5.5k69429.2k

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript120k2.1k10414.8k

• GokuMohandas/Made-With-ML

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

  Language:Jupyter Notebook37.7k1.2k736k

• suno-ai/bark

  🔊 Text-Prompted Generative Audio Model

  Language:Jupyter Notebook36.3k3294454.3k

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.8k9931893.5k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda24.6k2471412.8k

• karpathy/llama2.c

  Inference Llama 2 in one file of pure C

  Language:C17.5k1922222.1k

• triton-lang/triton

  Development repository for the Triton language and compiler

  Language:C++13.5k1971.5k1.7k

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML9k225162k

• voxel51/fiftyone

  Refine high-quality datasets and visual AI models

  Language:Python8.9k621.5k567

• lutris/lutris

  Lutris desktop client

  Language:Python7.9k1313.9k694

• layumi/Person_reID_baseline_pytorch

  :bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

  Language:Python4.1k773821k

• kojino/120-Data-Science-Interview-Questions

  Answers to 120 commonly asked data science interview questions.

  3.7k12841.3k

• rbhatia46/Data-Science-Interview-Resources

  A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

  2.8k466664

• dendibakh/perf-ninja

  This is an online course where you can learn and master the skill of low-level performance analysis and tuning.

  Language:C++2.6k11138228

• mpitutorial/mpitutorial

  MPI programming lessons in C and executable code examples

  Language:C2.2k8123754

• mcinglis/c-style

  My favorite C programming practices.

  2k48798

• Linaqruf/kohya-trainer

  Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning

  Language:Jupyter Notebook1.9k23286308

• SelfExplainML/PiML-Toolbox

  PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

  Language:Jupyter Notebook1.2k2354124

• sebp/scikit-survival

  Survival analysis built on top of scikit-learn

  Language:Python1.1k23229216

• tjddus9597/Proxy-Anchor-CVPR2020

  Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020

  Language:Python31692760

• JonasGeiping/breaching

  Breaching privacy in federated learning scenarios for vision and text

  Language:Python27051260

• explainingai-code/StableDiffusion-PyTorch

  This repo implements a Stable Diffusion model in PyTorch with all the essential components.

  Language:Python14742931

• PatrickZH/Improved-Deep-Leakage-from-Gradients

  The code for "Improved Deep Leakage from Gradients" (iDLG).

  Language:Python1455539

• apple/ml-autofocusformer

  This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".

  Language:Python1181009

• kr1210/Human-Pose-Compare

  Contains code on comparing actions performed by human beings and scoring them

  Language:Python947328

• explainingai-code/DDPM-Pytorch

  This repo implements Denoising Diffusion Probabilistic Models (DDPM) in Pytorch

  Language:Python762616

• tpn/cuda-by-example

  Code for NVIDIA's CUDA By Example Book.

  Language:C413011

• iamshaunjp/godot-platformer

  All course files & assets for the Godot Platformer tutorial on the Net Ninja YouTube channel & on Net Ninja pro.

  620

• lucidsoftware/lucid-programming-competition-2022

  Lucid Programming Competition 2022

  Language:Python11203