nizamMakdoud-betclic

nizamMakdoud-betclic's Stars

• willisma/SiT

  Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"

  Language:Python73242

• tldraw/tldraw

  whiteboard / infinite canvas SDK

  Language:TypeScript38.2k2.3k

• aimhubio/aim

  Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

  Language:Python5.3k327

• fadel/pytorch_ema

  Tiny PyTorch library for maintaining a moving average of a collection of parameters.

  Language:Python41426

• google/break-a-scene

  Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH Asia 2023]

  Language:Python50624

• shaibagon/diffusers_ddim_inversion

  A simple example for using `DDIMInverseScheduler` for inverting an input image to StableDiffusion's latent space

  Language:Python704

• lucidrains/ema-pytorch

  A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model

  Language:Python54334

• NVlabs/edm2

  EDM2 and Autoguidance -- Official PyTorch implementation

  Language:Python59725

• OAI/OpenAPI-Specification

  The OpenAPI Specification Repository

  Language:Markdown29.2k9.1k

• DS4SD/docling

  Get your documents ready for gen AI

  Language:Python17.5k915

• leerob/next-saas-starter

  Get started quickly with Next.js, Postgres, Stripe, and shadcn/ui.

  Language:TypeScript7.5k820

• FoundationVision/VAR

  [NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

  Language:Jupyter Notebook6.6k439

• nissymori/JAX-CORL

  Clean single-file implementation of offline RL algorithms in JAX

  Language:Python1192

• foldl/chatllm.cpp

  Pure C++ implementation of several models for real-time chatting on your computer (CPU)

  Language:C++47636

• pytorch/ao

  PyTorch native quantization and sparsity for training and inference

  Language:Python1.7k196

• huggingface/diffusion-fast

  Faster generation with text-to-image diffusion models.

  Language:Python20514

• andrewyng/aisuite

  Simple, unified interface to multiple Generative AI providers

  Language:Python9.6k864

• mttga/purejaxql

  Simple single-file baselines for Q-Learning in pure-GPU setting

  Language:Python1318

• xdit-project/xDiT

  xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism

  Language:Python1.1k104

• chengzeyi/piflux

  (WIP) Parallel inference for black-forest-labs' FLUX model.

  Language:Python172

• jj-vcs/jj

  A Git-compatible VCS that is both simple and powerful

  Language:Rust10.3k364

• supermemoryai/markdowner

  A fast tool to convert any website into LLM-ready markdown data. Built by https://supermemory.ai

  Language:TypeScript1k80

• instantX-research/Regional-Prompting-FLUX

  Training-free Regional Prompting for Diffusion Transformers 🔥

  Language:Python49920

• AGI-Arena/MARS

  The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models

  Language:Python54667

• ManimCommunity/manim

  A community-maintained Python framework for creating mathematical animations.

  Language:Python28.9k2k

• yangchris11/samurai

  Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

  Language:Python6.3k383

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python5.5k563

• ryouchinsa/sam-cpp-macos

  Segment Anything Model 2 CPP Wrapper for macOS and Ubuntu CPU/GPU

  Language:C++976

• PaulPauls/llama3_interpretability_sae

  A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.

  60534

• cli/cli

  GitHub’s official command line tool

  Language:Go37.9k6k