Alternatives and similar repositories for ML-Models

Users that are interested in ML-Models are comparing it to the libraries listed below

• RustamyF / clip-multimodal-ml
  ☆67Updated last year
• sovit-123 / vision_transformers
  Vision Transformers for image classification, image segmentation, and object detection.
  ☆60Updated last year
• fangyuan-ksgk / Mini-LLaVA
  A minimal implementation of LLaVA-style VLM with interleaved image & text & video processing ability.
  ☆96Updated 10 months ago
• sayedmohamedscu / Vision-language-models-VLM
  vision language models finetuning notebooks & use cases (Medgemma - paligemma - florence .....)
  ☆54Updated 3 weeks ago
• Montinger / Transformer-Workbench
  Playground for Transformers
  ☆53Updated last year
• ariG23498 / fine-tune-paligemma
  Notebooks for fine tuning pali gemma
  ☆117Updated 6 months ago
• AviSoori1x / seemore
  From scratch implementation of a vision language model in pure PyTorch
  ☆246Updated last year
• CharlesCNorton / yoflo-gui
  Real-time object detection using Florence-2 with a user-friendly GUI.
  ☆30Updated 2 months ago
• hkproj / pytorch-lora
  LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
  ☆117Updated 2 years ago
• rasbt / RAGs
  RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems
  ☆135Updated 9 months ago
• mbzuai-oryx / BiMediX2
  Bio-Medical EXpert LMM with English and Arabic Language Capabilities
  ☆71Updated last week
• AIAnytime / Qwen2-VL-Fine-Tuning
  Qwen2 VL Fine Tuning using Llama Factory
  ☆19Updated last year
• chenziwenhaoshuai / Vision-KAN
  KAN for Vision Transformer
  ☆253Updated last year
• knotgrass / attention
  several types of attention modules written in PyTorch for learning purposes
  ☆52Updated last year
• bohdandenysenko / LLM_from_scratch
  Building LLMs from scratch following the book from S. Raschka
  ☆31Updated 7 months ago
• JaouadT / KANU_Net
  U-Net architecture with Kolmogorov-Arnold Convolutions (KA convolutions)
  ☆45Updated 2 months ago
• lanl / vision_transformers_explained
  This folder of code contains code and notebooks to supplement the "Vision Transformers Explained" series published on Towards Data Scienc…
  ☆92Updated last year
• ThinamXx / cuda-mode
  Making of cuda kernel
  ☆17Updated 5 months ago
• maklachur / Mamba-in-Computer-Vision
  Mamba in Vision: A Comprehensive Survey of Techniques and Applications
  ☆127Updated last year
• Peachypie98 / CBAM
  CBAM: Convolutional Block Attention Module for CIFAR100 on VGG19
  ☆68Updated 5 months ago
• BorealisAI / efficient-vit-training
  PyTorch code of "Training a Vision Transformer from scratch in less than 24 hours with 1 GPU" (HiTY workshop at Neurips 2022)
  ☆24Updated 2 years ago
• alenic / timm-models-explorer
  Timm model explorer
  ☆42Updated last year
• ariG23498 / quantized-diffusion-inference
  Notebook and Scripts that showcase running quantized diffusion models on consumer GPUs
  ☆38Updated last year
• kyegomez / MambaTransformer
  Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
  ☆207Updated last week
• roboflow / model-leaderboard
  Which model is the best at object detection? Which is best for small or large objects? We compare the results in a handy leaderboard.
  ☆90Updated last week
• riedlerm / multimodal_rag_for_industry
  Implementation and evaluation of multimodal RAG with text and image inputs for industrial applications
  ☆64Updated 11 months ago
• anyantudre / Florence-2-Vision-Language-Model
  Florence-2 is a novel vision foundation model with a unified, prompt-based representation for a variety of computer vision and vision-lan…
  ☆106Updated last year
• FareedKhan-dev / create-million-parameter-llm-from-scratch
  Building a 2.3M-parameter LLM from scratch with LLaMA 1 architecture.
  ☆189Updated last year
• kyegomez / TTL
  Pytorch Implementation of the paper: "Learning to (Learn at Test Time): RNNs with Expressive Hidden States"
  ☆25Updated 2 weeks ago
• Jaykef / ai-algorithms
  First-principle implementations of groundbreaking AI algorithms using a wide range of deep learning frameworks, accompanied by supporting…
  ☆178Updated 3 months ago