gseonglee

gseonglee's Stars

• ollama/ollama

  Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.

  Language:Go105k6135.3k8.4k

• xai-org/grok-1

  Grok open release

  Language:Python49.7k5912148.3k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.7k2302733.2k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda24.9k2521412.8k

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.6k3996419.6k

• unslothai/unsloth

  Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory

  Language:Python19.9k1341.2k1.4k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook14k99181.1k

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  13.3k259128843

• Lightning-AI/litgpt

  20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

  Language:Python11k998171.1k

• cotes2020/jekyll-theme-chirpy

  A minimal, responsive, and feature-rich Jekyll theme for technical writing.

  Language:HTML7.8k348466.1k

• 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 Notebook6.5k120108433

• bitsandbytes-foundation/bitsandbytes

  Accessible large language models via k-bit quantization for PyTorch.

  Language:Python6.5k521.1k644

• pytorch/torchtune

  PyTorch native post-training library

  Language:Python4.5k48804469

• karpathy/build-nanogpt

  Video+code lecture on building nanoGPT from scratch

  Language:Python3.7k3821526

• LLaVA-VL/LLaVA-NeXT

  Language:Python3.2k37338280

• mhamilton723/FeatUp

  Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

  Language:Jupyter Notebook1.4k167579

• mbzuai-oryx/LLaVA-pp

  🔥🔥 LLaVA++: Extending LLaVA with Phi-3 and LLaMA-3 (LLaVA LLaMA-3, LLaVA Phi-3)

  Language:Python819103462

• ByungKwanLee/MoAI

  [ECCV 2024] Official PyTorch implementation code for realizing the technical part of Mixture of All Intelligence (MoAI) to improve performance of numerous zero-shot vision language tasks.

  Language:Python317112132

• KU-CVLAB/RAIN-GS

  Code for "Relaxing Accurate Initialization Constraint for 3D Gaussian Splatting" by Jaewoo Jung, Jisang Han, Honggyu An, Jiwon Kang, Seonghoon Park, and Seungryong Kim

  Language:Python289101516

• KU-CVLAB/GaussianTalker

  Official implementation of “GaussianTalker: Real-Time High-Fidelity Talking Head Synthesis with Audio-Driven 3D Gaussian Splatting” by Kyusun Cho, Joungbin Lee, Heeji Yoon, Yeobin Hong, Jaehoon Ko, Sangjun Ahn and Seungryong Kim

  Language:Python262115531

• KU-CVLAB/Perturbed-Attention-Guidance

  Official implementation of "Perturbed-Attention Guidance"

  Language:Jupyter Notebook2542010

• pamparamm/sd-perturbed-attention

  Perturbed-Attention Guidance, Smoothed Energy Guidance and Sliding Window Guidance for ComfyUI and SD Forge

  Language:Python22942117

• bytedance/coconut_cvpr2024

  Language:Jupyter Notebook1604317

• KU-CVLAB/MoDiTalker

  Language:Python1488139

• KU-CVLAB/Talk3D

  Language:Python1297118

• hist0613/arxivbot

  Language:Python573282

• Victorwz/MLM_Filter

  Official implementation of our paper "Finetuned Multimodal Language Models are High-Quality Image-Text Data Filters".

  Language:Python42311

• KU-CVLAB/Diff-ID

  21411

• aoru45/Gaussian-Splatting-2D

  2D based Guassian Splatting model

  Language:Python18101

• sunovivid/Awesome-Diffusion-Guidance

  A collection of resources and papers on diffusion guidance (for personal purpose)

  3100