kdexd

kdexd's Stars

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.6k2302733.2k

• modularml/mojo

  The Mojo Programming Language

  Language:Mojo23.5k2642.2k2.6k

• black-forest-labs/flux

  Official inference repo for FLUX.1 models

  Language:Python18.6k15801.3k

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++18k1485891k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python14.8k1231.2k1.4k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13.9k98181.1k

• openai/tiktoken

  tiktoken is a fast BPE tokeniser for use with OpenAI's models.

  Language:Python12.8k170242878

• karpathy/minbpe

  Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

  Language:Python9.3k8538875

• meta-llama/llama-models

  Utilities intended for use with Llama models.

  Language:Python5.4k75148903

• lancedb/lance

  Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

  Language:Rust4.1k431.1k236

• rom1504/img2dataset

  Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

  Language:Python3.8k31263345

• pytorch/torchtitan

  A native PyTorch Library for large model training

  Language:Python2.8k44198228

• huggingface/datatrove

  Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

  Language:Python2.1k47137156

• cambrian-mllm/cambrian

  Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

  Language:Python1.8k2170118

• visual-layer/fastdup

  fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

  Language:Python1.6k2425277

• facebookresearch/MetaCLIP

  ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering

  Language:Python1.3k123456

• pytorch-labs/segment-anything-fast

  A batched offline inference oriented version of segment-anything

  Language:Python1.2k114472

• apple/ml-aim

  This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

  Language:Python1.1k272154

• google-research-datasets/wit

  WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

  1k38741

• AdaptiveMotorControlLab/CEBRA

  Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

  Language:Python926354478

• dangeng/visual_anagrams

  Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models"

  Language:Jupyter Notebook88691384

• mlfoundations/datacomp

  DataComp: In search of the next generation of multimodal datasets

  Language:Python668176457

• HazyResearch/aisys-building-blocks

  Building blocks for foundation models.

  42130017

• rom1504/cc2dataset

  Easily convert common crawl to a dataset of caption and document. Image/text Audio/text Video/text, ...

  Language:Python31393324

• facebookresearch/lightplane

  Lightplane implements a highly memory-efficient differentiable radiance field renderer, and a module for unprojecting features from images to 3D grids.

  Language:Python2712847

• gautierdag/bpeasy

  Fast bare-bones BPE for modern tokenizer training

  Language:Python142233

• facebookresearch/meru

  Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023

  Language:Python1408713

• masadcv/FastGeodis

  Fast Implementation of Generalised Geodesic Distance Transform for CPU (OpenMP) and GPU (CUDA)

  Language:C++9243314

• hammoudhasan/SynthCLIP

  Code base of SynthCLIP: CLIP training with purely synthetic text-image pairs from LLMs and TTIs.

  Language:Python90792

• juliusberner/ddn_tutorial

  Tutorial on Deep Declarative Networks

  Language:HTML1101