Alternatives and similar repositories for TorchLeet

Users that are interested in TorchLeet are comparing it to the libraries listed below

• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆414Updated 2 weeks ago
• 1y33 / 100Days
  GPU Kernels
  ☆174Updated 2 weeks ago
• hkproj / 100-days-of-gpu
  ☆309Updated last month
• YuvrajSingh-mist / Paper-Replications
  A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers in pytorch
  ☆193Updated 2 weeks ago
• gmberton / awesome-machine-learning-startups
  List of startups doing AI & ML
  ☆270Updated 5 months ago
• Open-Deep-ML / DML-OpenProblem
  ☆394Updated last week
• rkinas / cuda-learning
  This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…
  ☆336Updated 2 months ago
• SkalskiP / vlms-zero-to-hero
  This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
  ☆1,065Updated 3 months ago
• tanishqkumar / beyond-nanogpt
  Minimal and annotated implementations of key ideas from modern deep learning research.
  ☆524Updated this week
• llmgenai / LLMInterviewQuestions
  This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fo…
  ☆1,266Updated 3 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆180Updated this week
• hkproj / triton-flash-attention
  ☆163Updated 4 months ago
• analyticsbot / ml-system-design
  ☆85Updated 4 months ago
• saurabhaloneai / History-of-Deep-Learning
  learningggggggg 🐳
  ☆519Updated last month
• aai-institute / beyond-jupyter
  Software design principles for machine learning applications
  ☆357Updated last month
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆418Updated 2 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆345Updated 2 months ago
• xbresson / CS5242_2025
  NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025
  ☆376Updated 3 weeks ago
• Devinterview-io / pytorch-interview-questions
  🟣 PyTorch interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.
  ☆102Updated last year
• VachanVY / Reinforcement-Learning
  PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research …
  ☆86Updated this week
• Devinterview-io / llms-interview-questions
  🟣 LLMs interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.
  ☆405Updated 10 months ago
• 0xD4rky / Vision-Transformers
  This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementa…
  ☆216Updated 4 months ago
• youssefHosni / Hands-On-LLM-Fine-Tuning
  Hands-on tutorials on fine-tuning various LLMs using different fine-tuning techniques
  ☆219Updated 3 weeks ago
• kmohan321 / LLMs
  ☆89Updated last month
• policy-gradient / GRPO-Zero
  Implementing DeepSeek R1's GRPO algorithm from scratch
  ☆1,300Updated 3 weeks ago
• springer-llms-deep-dive / llms-deep-dive-tutorials
  ☆119Updated 7 months ago
• clu0 / unet.cu
  UNet diffusion model in pure CUDA
  ☆602Updated 10 months ago
• yuanchenyang / smalldiffusion
  Simple and readable code for training and sampling from diffusion models
  ☆490Updated 4 months ago
• neubig / starter-repo
  An example starter repo for Python projects
  ☆288Updated last month
• zafstojano / ml-interview-questions-and-answers
  This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.
  ☆155Updated 10 months ago