james-valbuena

james-valbuena's Stars

• microsoft/Phi-3CookBook

  This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.

  Language:Jupyter Notebook2.2k222

• baaivision/DIVA

  Diffusion Feedback Helps CLIP See Better

  Language:Python20010

• beichenzbc/Long-CLIP

  [ECCV 2024] official code for "Long-CLIP: Unlocking the Long-Text Capability of CLIP"

  Language:Python59126

• dingmyu/davit

  [ECCV 2022]Code for paper "DaViT: Dual Attention Vision Transformer"

  Language:Python32133

• minimaxir/pokemon-embeddings

  Jupyter Notebooks and an R Notebook for encoding Pokémon embeddings and creating data visualizations.

  Language:Jupyter Notebook161

• Lightning-AI/litgpt

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

  Language:Python9.8k980

• karpathy/build-nanogpt

  Video+code lecture on building nanoGPT from scratch

  Language:Python3.4k464

• jacobmarks/awesome-clip-papers

  The most impactful papers related to contrastive pretraining for multimodal models!

  Language:Python383

• jzhang38/EasyContext

  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.

  Language:Python60641

• systemdesign42/system-design

  A resource to help you pass system design interview and become good at work 👇

  12.1k1.2k